BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities

Open Babel: An open chemical toolbox

O'Boyle, N. M., Banck, M. S., James, C. A. J., Morley, C., Vandermeersch, T., & Hutchison, G. R. (2011) · Journal of Cheminformatics · doi:10.1186/1758-2946-3-33 · Cited by 10,705 · see citing works

DrugBank 5.0: a major update to the DrugBank database for 2018

Wishart, D. S., Feunang, Y. D., Guo, A. C., Lo, E. J., Marcu, A., Grant, J. R., Sajed, T., Johnson, D., Li, C., Sayeeda, Z., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1037 · Cited by 8,404 · see citing works

SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules

Weininger, D. (1988) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci00057a005 · Cited by 7,436 · see citing works

INFOGEST static in vitro simulation of gastrointestinal food digestion

Brodkorb, A., Egger, L., Alminger, M., Alvito, P., Assunção, R., Ballance, S., Bohn, T., Bourlieu-Lacanal, C., Boutrou, R., Carrière, F., et al. (2019) · Nature Protocols · doi:10.1038/s41596-018-0119-1 · Cited by 5,199 · see citing works

HMDB 4.0: the human metabolome database for 2018

Wishart, D. S., Feunang, Y. D., Marcu, A., Guo, A. C., Liang, K., Vázquez-Fresno, R., Sajed, T., Johnson, D., Li, C., Karu, N., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1089 · Cited by 3,438 · see citing works

PubChem 2019 update: improved access to chemical data

Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1033 · Cited by 3,249 · see citing works

ZINC 15 – Ligand Discovery for Everyone

Sterling, T., & Irwin, J. J. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5b00559 · Cited by 3,224 · see citing works

APD3: the antimicrobial peptide database as a tool for research and education

Wang, G., Li, X., & Wang, Z. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1278 · Cited by 2,402 · see citing works

ChEMBL: towards direct deposition of bioassay data

Mendez, D., Gaulton, A., Bento, A. P., Chambers, J., De Veij, M., Félix, E., Magariños, M. P., Mosquera, J. F., Mutowo, P., Nowotka, M., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1075 · Cited by 2,372 · see citing works

New approach for understanding genome variations in KEGG

Kanehisa, M. I., Sato, Y., Furumichi, M., Morishima, K., & Tanabe, M. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky962 · Cited by 1,845 · see citing works

The MEROPS database of proteolytic enzymes, their substrates and inhibitors in 2017 and a comparison with peptidases in the PANTHER database

Rawlings, N. D., Barrett, A. J., Thomas, P. D., Huang, X., Bateman, A., & Finn, R. D. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1134 · Cited by 1,749 · see citing works

Improved Method for Determining Food Protein Degree of Hydrolysis

Nielsen, P., Petersen, D., & Dambmann, C. (2001) · Journal of Food Science · doi:10.1111/j.1365-2621.2001.tb04614.x · Cited by 1,728 · see citing works

BindingDB in 2015: A public database for medicinal chemistry, computational chemistry and systems pharmacology

Gilson, M. K., Liu, T., Baitaluk, M., Nicola, G., Hwang, L., & Chong, J. P. C. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1072 · Cited by 1,632 · see citing works

The CompTox Chemistry Dashboard: a community data resource for environmental chemistry

Williams, A. J., Grulke, C., Edwards, J., McEachran, A. D., Mansouri, K., Baker, N., Patlewicz, G. Y., Shah, I., Wambaugh, J. F., Judson, R., et al. (2017) · Journal of Cheminformatics · doi:10.1186/s13321-017-0247-6 · Cited by 1,164 · see citing works

ChEBI in 2016: Improved services and an expanding collection of metabolites

Hastings, J., Owen, G., Dekker, A., Ennis, M., Kale, N., Muthukrishnan, V., Turner, S., Swainston, N., Mendes, P., & Steinbeck, C. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1031 · Cited by 1,083 · see citing works

InChI, the IUPAC International Chemical Identifier

Heller, S. R., Mcnaught, A. D., Плетнев, И. В., Stein, S. E., & Tchekhovskoi, D. V. (2015) · Journal of Cheminformatics · doi:10.1186/s13321-015-0068-4 · Cited by 875 · see citing works

CAMP _R3 : a database on sequences, structures and signatures of antimicrobial peptides: Table 1.

Waghu, F. H., Barai, R. S., Gurung, P., & Idicula-Thomas, S. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1051 · Cited by 715 · see citing works

MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data

Haug, K., Salek, R. M., Conesa, P., Hastings, J., de Matos, P., Rijnbeek, M. L., Mahendraker, T., Williams, M., Neumann, S., Rocca‐Serra, P., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1004 · Cited by 647 · see citing works

Flexible Sequence Similarity Searching with the FASTA3 Program Package

Pearson, W. R. (2003) · Humana Press eBooks · doi:10.1385/1-59259-192-2:185 · Cited by 601 · see citing works

BIOPEP Database and Other Programs for Processing Bioactive Peptide Sequences

Mińkiewicz, P., Dziuba, J., Iwaniak, A., Dziuba, M., & Darewicz, M. (2008) · Journal of AOAC International · doi:10.1093/jaoac/91.4.965 · Cited by 540 · see citing works

Milk bioactive peptide database: A comprehensive database of milk protein-derived bioactive peptides and novel visualization

Nielsen, S. D.-H., Beverly, R. L., Qu, Y., & Dallas, D. C. (2017) · Food Chemistry · doi:10.1016/j.foodchem.2017.04.056 · Cited by 496 · see citing works

Open Targets Platform: new developments and updates two years on

Carvalho‐Silva, D., Pierleoni, A., Pignatelli, M., Ong, C. K., Fumis, L., Karamanis, N., Carmona, M., Faulconbridge, A., Hercules, A., McAuley, E., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1133 · Cited by 449 · see citing works

CancerPPD: a database of anticancer peptides and proteins

Tyagi, A. K., Tuknait, A., Anand, P., Gupta, S., Sharma, M., Mathur, D. D., Joshi, A., Singh, S., Gautam, A., & Raghava, G. P. S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku892 · Cited by 401 · see citing works

BRENDA in 2019: a European ELIXIR core data resource

Jeske, L., Placzek, S., Schomburg, I., Chang, A., & Schomburg, D. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1048 · Cited by 385 · see citing works

Plasmin in milk and dairy products: an update

Bastian, E. D., & Brown, R. J. (1996) · International Dairy Journal · doi:10.1016/0958-6946(95)00021-6 · Cited by 312 · see citing works

Bioinformatics approaches, prospects and challenges of food bioactive peptide research

Udenigwe, C. C. (2014) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2014.02.004 · Cited by 299 · see citing works

Advancement and prospects of bioinformatics analysis for studying bioactive peptides from food-derived protein: Sequence, structure, and functions

Tu, M., Cheng, S., Lu, W., & Du, M. (2018) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2018.04.005 · Cited by 278 · see citing works

Seed Protein of Lentils: Current Status, Progress, and Food Applications

Khazaeı, H., Subedi, M., Nickerson, M. T., Martínez‐Villaluenga, C., Frı́as, J., & Vandenberg, A. (2019) · Foods · doi:10.3390/foods8090391 · Cited by 266 · see citing works

ExplorEnz: the primary source of the IUBMB enzyme list

McDonald, A. G., Boyce, S., & Tipton, K. F. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn582 · Cited by 250 · see citing works

DBAASP v.2: an enhanced database of structure and antimicrobial/cytotoxic activity of natural and synthetic peptides

Pirtskhalava, M., Gabrielian, A. E., Cruz, P., Griggs, H. L., Squires, R. B., Hurt, D. E., Grigolava, M., Chubinidze, M., Gogoladze, G., Vishnepolsky, B., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1174 · Cited by 246 · see citing works

SATPdb: a database of structurally annotated therapeutic peptides

Singh, S., Chaudhary, K., Dhanda, S. K., Bhalla, S., Usmani, S. S., Gautam, A., Tuknait, A., Agrawal, P., Mathur, D. D., & Raghava, G. P. S. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1114 · Cited by 242 · see citing works

SureChEMBL: a large-scale, chemically annotated patent document database

Papadatos, G., Davies, M., Dedman, N., Chambers, J. K., Gaulton, A., Siddle, J., Koks, R., Irvine, S. A., Pettersson, J., Goncharoff, N., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1253 · Cited by 233 · see citing works

BitterDB: taste ligands and receptors database in 2019

Dagan‐Wiener, A., Pizio, A. D., Nissim, I., Bahia, M. S., Dubovski, N., Margulis, E., & Niv, M. Y. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky974 · Cited by 227 · see citing works

AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides

Kumar, R., Chaudhary, K., Sharma, M., Nagpal, G., Chauhan, J. S., Singh, S., Gautam, A., & Raghava, G. P. S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1141 · Cited by 211 · see citing works

Bioinformatics and peptidomics approaches to the discovery and analysis of food-derived bioactive peptides

Agyei, D., Tsopmo, A., & Udenigwe, C. C. (2018) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-018-0974-1 · Cited by 189 · see citing works

PepBank - a database of peptides based on sequence text mining and public peptide data sources.

Shtatland, T., Guettler, D., Kossodo, M., Pivovarov, M., & Weissleder, R. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-280 · Cited by 181 · see citing works

BIOPEP database of sensory peptides and amino acids

Iwaniak, A., Mińkiewicz, P., Darewicz, M., Sieniawski, K., & Starowicz, P. (2016) · Food Research International · doi:10.1016/j.foodres.2016.04.031 · Cited by 176 · see citing works

NANPDB: A Resource for Natural Products from Northern African Sources

Ntie‐Kang, F., Telukunta, K. K., Döring, K., Simoben, C. V., Moumbock, A. F. A., Malange, Y. I., Njume, L. E., Yong, J. N., Sippl, W., & Günther, S. (2017) · Journal of Natural Products · doi:10.1021/acs.jnatprod.7b00283 · Cited by 176 · see citing works

Recent trends and analytical challenges in plant bioactive peptide separation, identification and validation

Piovesana, S., Capriotti, A. L., Cavaliere, C., Barbera, G. L., Montone, C. M., Chiozzi, R. Z., & Laganà, A. (2018) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-018-0852-x · Cited by 176 · see citing works

Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides

Gautam, A., Chaudhary, K., Singh, S., Joshi, A., Anand, P., Tuknait, A., Mathur, D. D., Varshney, G. C., & Raghava, G. P. S. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1008 · Cited by 169 · see citing works

Peptide amidation

Bradbury, A. F., & Smyth, D. G. (1991) · Trends in Biochemical Sciences · doi:10.1016/0968-0004(91)90044-v · Cited by 169 · see citing works

NeuroPep: a comprehensive resource of neuropeptides

Wang, Y., Wang, M., Yin, S., Jang, R., Wang, J., Xue, Z., & Xu, T. (2015) · Database · doi:10.1093/database/bav038 · Cited by 163 · see citing works

PubChem chemical structure standardization

Hähnke, V. D., Kim, S., & Bolton, E. (2018) · Journal of Cheminformatics · doi:10.1186/s13321-018-0293-8 · Cited by 163 · see citing works

SwissSidechain: a molecular and structural database of non-natural sidechains

Gfeller, D., Michielin, O. A., & Zoete, V. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks991 · Cited by 140 · see citing works

CutDB: a proteolytic event database

Igarashi, Y., Eroshkin, A. M., Gramatikova, S. I., Gramatikoff, K., Zhang, Y., Smith, J. W., Osterman, A. L., & Godzik, A. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl813 · Cited by 131 · see citing works

MilkAMP: a comprehensive database of antimicrobial peptides of dairy origin

Théolier, J., Fliss, I., Jean, J., & Hammami, R. (2013) · Dairy Science and Technology · doi:10.1007/s13594-013-0153-2 · Cited by 123 · see citing works

Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System

Judson, R., Martin, M. T., Egeghy, P. P., Gangwal, S., Reif, D. M., Kothiya, P., Wolf, M. A., Cathey, T., Transue, T. R., Smith, D., et al. (2012) · International Journal of Molecular Sciences · doi:10.3390/ijms13021805 · Cited by 118 · see citing works

The EROP-Moscow oligopeptide database

Zamyatnin, A. A. (2005) · Nucleic Acids Research · doi:10.1093/nar/gkj008 · Cited by 118 · see citing works

Yak milk casein as potential precursor of angiotensin I-converting enzyme inhibitory peptides based on in silico proteolysis

Lin, K. F., Zhang, L., Han, X., Xin, L., Meng, Z., Gong, P.-M., & Cheng, D. (2018) · Food Chemistry · doi:10.1016/j.foodchem.2018.02.051 · Cited by 117 · see citing works

Database of biologically active peptide sequences

Dziuba, J., Mińkiewicz, P., Nałȩcz, D., & Iwaniak, A. (1999) · Food / Nahrung · doi:10.1002/(sici)1521-3803(19990601)43:3 · Cited by 114 · see citing works

Bovine Meat Proteins as Potential Precursors of Biologically Active Peptides - a Computational Study based on the BIOPEP Database

Mińkiewicz, P., Dziuba, J., & Michalska, J. (2011) · Food Science and Technology International · doi:10.1177/1082013210368461 · Cited by 108 · see citing works

Food protein-originating peptides as tastants - Physiological, technological, sensory, and bioinformatic approaches

Iwaniak, A., Mińkiewicz, P., Darewicz, M., & Hrynkiewicz, M. (2016) · Food Research International · doi:10.1016/j.foodres.2016.08.010 · Cited by 104 · see citing works

In silico analysis of the large and small subunits of cereal RuBisCO as precursors of cryptic bioactive peptides

Udenigwe, C. C., Gong, M., & Wu, S. (2013) · Process Biochemistry · doi:10.1016/j.procbio.2013.08.013 · Cited by 101 · see citing works

The Construction of a Bioactive Peptide Database in Metazoa

Liu, F., Baggerman, G., Schoofs, L., & Wets, G. (2008) · Journal of Proteome Research · doi:10.1021/pr800037n · Cited by 95 · see citing works

Brainpeps: the blood–brain barrier peptide database

Dorpe, S. V., Bronselaer, A., Nielandt, J., Stalmans, S., Wynendaele, E., Audenaert, K., de Wiele, C. V., Burvenich, C., Peremans, K. Y., Hsuchou, H., et al. (2011) · Brain Structure and Function · doi:10.1007/s00429-011-0375-0 · Cited by 94 · see citing works

Computer-aided characteristics of proteins as potential precursors of bioactive peptides

Dziuba, J., Iwaniak, A., & Mińkiewicz, P. (2003) · Polimery · doi:10.14314/polimery.2003.050 · Cited by 90 · see citing works

Chemometrics and cheminformatics in the analysis of biologically active peptides from food sources

Iwaniak, A., Mińkiewicz, P., Darewicz, M., Protasiewicz, M., & Mogut, D. (2015) · Journal of Functional Foods · doi:10.1016/j.jff.2015.04.038 · Cited by 89 · see citing works

In Vitro and In Silico Approaches to Generating and Identifying Angiotensin-Converting Enzyme I Inhibitory Peptides from Green Macroalga Ulva lactuca

García‐Vaquero, M., Mora, L., & Hayes, M. (2019) · Marine Drugs · doi:10.3390/md17040204 · Cited by 82 · see citing works

Comparative peptidomic profile and bioactivities of cooked beef, pork, chicken and turkey meat after in vitro gastro-intestinal digestion

Martini, S., Conte, A., & Tagliazucchi, D. (2019) · Journal of Proteomics · doi:10.1016/j.jprot.2019.103500 · Cited by 82 · see citing works

ChemIDplus-Super Source for Chemical and Drug Information

Tomasulo, P. (2002) · Medical Reference Services Quarterly · doi:10.1300/j115v21n01_04 · Cited by 81 · see citing works

Elucidation of the role of in silico methodologies in approaches to studying bioactive peptides derived from foods

Iwaniak, A., Darewicz, M., Mogut, D., & Mińkiewicz, P. (2019) · Journal of Functional Foods · doi:10.1016/j.jff.2019.103486 · Cited by 76 · see citing works

BioPepDB: an integrated data platform for food-derived bioactive peptides

Li, Q., Zhang, C., Chen, H., Xue, J., Guo, X., Liang, M., & Chen, M. (2018) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2018.1446916 · Cited by 74 · see citing works

FeptideDB: A web application for new bioactive peptides from food protein

Panyayai, T., Ngamphiw, C., Tongsima, S., Mhuantong, W., Limsripraphan, W., Choowongkomon, K., & Sawatdichaikul, O. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e02076 · Cited by 69 · see citing works

Purification, characterization, and milk coagulating properties of ginger proteases

Huang, X., Chen, L. J., Luo, Y. B., Guo, H. Y., & Ren, F. (2011) · Journal of Dairy Science · doi:10.3168/jds.2010-4024 · Cited by 68 · see citing works

Peptides reproducibly released byin vivodigestion of beef meat and trout flesh in pigs

Bauchart, C., Morzel, M., Chambon, C., Mirand, P. P., Reynès, C., Buffière, C., & Rémond, D. (2007) · British Journal Of Nutrition · doi:10.1017/s0007114507761810 · Cited by 67 · see citing works

Antiproliferative effect of peptide fractions isolated from a quality protein maize, a white hybrid maize, and their derived peptides on hepatocarcinoma human HepG2 cells

Ortiz‐Martínez, M., de Mejı́a, E. G., García‐Lara, S., Aguilar, O., López-Castillo, L. M., & Otero-Pappatheodorou, J. T. (2017) · Journal of Functional Foods · doi:10.1016/j.jff.2017.04.015 · Cited by 65 · see citing works

The relevance of dipeptides and tripeptides in the bioactivity and taste of dry-cured ham

Gallego, M., Mora, L., & Toldrá, F. (2019) · Food Production Processing and Nutrition · doi:10.1186/s43014-019-0002-7 · Cited by 63 · see citing works

Bioinformatics: Current perspectives and future directions for food and nutritional research facilitated by a Food-Wiki database

Holton, T. A., Vijayakumar, V., & Khaldi, N. (2013) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2013.08.009 · Cited by 62 · see citing works

Identification and characterization of the antimicrobial peptide corresponding to C-terminal β-sheet domain of tenecin 1, an antibacterial protein of larvae of Tenebrio molitor

Lee, K. H., Hong, S. Y., Oh, J. E., Kwon, M. Y., Yoon, J. H., Lee, J. H., Lee, B. L., & Moon, H. M. (1998) · Biochemical Journal · doi:10.1042/bj3340099 · Cited by 60 · see citing works

Peptides obtained from fermented faba bean seeds (Vicia faba) as potential inhibitors of an enzyme involved in the pathogenesis of metabolic syndrome

Jakubczyk, A., Karaś, M., Złotek, U., Szymanowska, U., Baraniak, B., & Bochnak, J. (2019) · LWT · doi:10.1016/j.lwt.2019.02.009 · Cited by 60 · see citing works

Analysis of proteins and potential bioactive peptides from tilapia (Oreochromis spp.) processing co-products using proteomic techniques coupled with BIOPEP database

Huang, B.-B., Lin, H.-C., & Chang, Y. (2015) · Journal of Functional Foods · doi:10.1016/j.jff.2015.09.065 · Cited by 58 · see citing works

Updating the research on the chemopreventive and therapeutic role of the peptide lunasin

Hsieh, C., Martínez‐Villaluenga, C., de Lumen, B. O., & Hernández‐Ledesma, B. (2017) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.8719 · Cited by 54 · see citing works

Glycinyl-histidinyl-serine (GHS), a novel rapeseed protein-derived peptide has blood pressure-lowering effect in spontaneously hypertensive rats.

He, R., Malomo, S., Girgih, A., Ju, X.-R., & Aluko, R. (2013) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf400865m · Cited by 52 · see citing works

The Royal Society of Chemistry and the delivery of chemistry data repositories for the community

Williams, A. J., & Tkachenko, V. (2014) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-014-9784-5 · Cited by 52 · see citing works

CycloPs: Generating Virtual Libraries of Cyclized and Constrained Peptides Including Nonnatural Amino Acids

Duffy, F. J., Verniere, M., Devocelle, M. C., Bernard, E., Shields, D. C., & Chubb, A. J. (2011) · Journal of Chemical Information and Modeling · doi:10.1021/ci100431r · Cited by 51 · see citing works

CHUCKLES: A method for representing and searching peptide and peptoid sequences on both monomer and atomic levels

Siani, M. A., Weininger, D., & Blaney, J. M. (1994) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci00019a017 · Cited by 50 · see citing works

Applied Chemoinformatics

Engel, T. 1., Gasteiger, J. 1., & Wiley-VCH (2018) · Wiley eBooks · doi:10.1002/9783527806539 · Cited by 45 · see citing works

Bridging protein local structures and protein functions

Liu, Z., Wu, L., Wang, Y., Zhang, X., & Chen, L. (2008) · Amino Acids · doi:10.1007/s00726-008-0088-8 · Cited by 43 · see citing works

ProPepper: a curated database for identification and analysis of peptide and immune-responsive epitope composition of cereal grain protein families

Juhász, A., Haraszi, R., & Maulis, C. (2015) · Database · doi:10.1093/database/bav100 · Cited by 43 · see citing works

Nutraceutical protein isolate from pigeon pea ( Cajanus cajan ) milling waste by-product: functional aspects and digestibility

Tapal, A., Vegarud, G. E., Sreedhara, A., & Tiku, P. K. (2019) · Food & Function · doi:10.1039/c8fo01933a · Cited by 42 · see citing works

Black bean peptides inhibit glucose uptake in Caco-2 adenocarcinoma cells by blocking the expression and translocation pathway of glucose transporters

Mojica, L., Luna‐Vital, D. A., & de Mejı́a, E. G. (2018) · Toxicology Reports · doi:10.1016/j.toxrep.2018.04.007 · Cited by 41 · see citing works

Novel Angiotensin‐Converting Enzyme Inhibitory Peptides Derived from Oncorhynchus mykiss Nebulin: Virtual Screening and In Silico Molecular Docking Study

Yu, Z., Fan, Y., Zhao, W., Ding, L., Li, J., & Liu, J. (2018) · Journal of Food Science · doi:10.1111/1750-3841.14299 · Cited by 41 · see citing works

Discovery, synthesis, and in vitro evaluation of a novel bioactive peptide for ACE and DPP-IV inhibitory activity

Ashok, A., Brijesha, N., & Aparna, H. S. (2019) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2019.07.009 · Cited by 39 · see citing works

Broken Rice as a Potential Functional Ingredient with Inhibitory Activity of Renin and Angiotensin-Converting Enzyme(ACE)

Pinciroli, M., Aphalo, P., Nardo, A. E., Añón, M. C., & Quiroga, A. V. (2019) · Plant Foods for Human Nutrition · doi:10.1007/s11130-019-00754-6 · Cited by 36 · see citing works

SpirPep: an in silico digestion-based platform to assist bioactive peptides discovery from a genome-wide database

Anekthanakul, K., Hongsthong, A., Senachak, J., & Ruengjitchatchawalya, M. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2143-0 · Cited by 31 · see citing works

Common Amino Acid Subsequences in a Universal Proteome—Relevance for Food Science

Mińkiewicz, P., Darewicz, M., Iwaniak, A., Sokołowska, J., Starowicz, P., Bucholska, J., & Hrynkiewicz, M. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms160920748 · Cited by 30 · see citing works

Preface for Volume 7: Natural and Artificial Flavoring Agents and Food Dyes

Grumezescu, A. M., & Holban, A. M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811518-3.00022-3 · Cited by 29 · see citing works

Annotation of Peptide Structures Using SMILES and Other Chemical Codes–Practical Solutions

Mińkiewicz, P., Iwaniak, A., & Darewicz, M. (2017) · Molecules · doi:10.3390/molecules22122075 · Cited by 27 · see citing works

Peptides, specific proteolysis products, as molecular markers of allergenic proteins - in silico studies.

Dziuba, M., Mińkiewicz, P., & Dąbek, M. (2014) · PubMed · Cited by 26 · see citing works

Internet Databases of the Properties, Enzymatic Reactions, and Metabolism of Small Molecules—Search Options and Applications in Food Science

Mińkiewicz, P., Darewicz, M., Iwaniak, A., Bucholska, J., Starowicz, P., & Bialobrodzka, E. G. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17122039 · Cited by 25 · see citing works

Large-scale mapping of bioactive peptides in structural and sequence space

Nardo, A. E., Añón, M. C., & Parisi, G. D. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191063 · Cited by 23 · see citing works

In Silico Analysis of Bioactive Peptides in Invasive Sea Grass Halophila stipulacea

Çavaş, Ç. K., Pérez‐Sánchez, H., Ozupek, N. M., & Çavaş, L. (2019) · Cells · doi:10.3390/cells8060557 · Cited by 22 · see citing works

Discovery of Novel Angiotensin-Converting Enzyme Inhibitory Peptides from Todarodes pacificus and Their Inhibitory Mechanism: In Silico and In Vitro Studies

Yu, D., Wang, C., Song, Y., Zhu, J., & Zhang, X. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20174159 · Cited by 21 · see citing works

Fragmentomics of natural peptide structures

Zamyatnin, A. A. (2009) · Biochemistry (Moscow) · doi:10.1134/s0006297909130100 · Cited by 19 · see citing works

Chemoinformatics in Food Science

Peña‐Castillo, A., Méndez‐Lucio, O., Owen, J. R., Martínez‐Mayorga, K., & Medina‐Franco, J. L. (2018) · Wiley eBooks · doi:10.1002/9783527806539.ch10 · Cited by 19 · see citing works

Active-site directed peptide l-Phe-d-His-l-Leu inhibits angiotensin converting enzyme activity and dexamethasone-induced hypertension in rats

Savitha, M. N., Siddesha, J. M., Suvilesh, K. N., Manjunath, Y., Kameshwar, V. H., D’Souza, C. J. M., Umashankara, M., & Vishwanath, B. S. (2018) · Peptides · doi:10.1016/j.peptides.2018.11.002 · Cited by 18 · see citing works

Structural properties of proteolytic-accessible bioactive fragments of selected animal proteins

Dziuba, J., Niklewicz, M., Iwaniak, A., Darewicz, M., & Mińkiewicz, P. (2005) · Polimery · doi:10.14314/polimery.2005.424 · Cited by 16 · see citing works

Using Internet Databases for Food Science Organic Chemistry Students To Discover Chemical Compound Information

Mińkiewicz, P., Iwaniak, A., & Darewicz, M. (2015) · Journal of Chemical Education · doi:10.1021/ed5006739 · Cited by 15 · see citing works

Online Programs and Databases of Peptides and Proteolytic Enzymes – A Brief Update for 2007–2008

Mińkiewicz, P., Darewicz, M., Iwaniak, A., Michalska, J., & Dziuba, J. (2009) · University of Zagreb University Computing Centre (SRCE) · Cited by 12 · see citing works

Computer-Aided Drug Design Studies in Food Chemistry

Scotti, L., Mendonça, F. J. B., Ishiki, H. M., Ribeiro, F. F., Duarte, M. C., Santana, G. S., Oliveira, T. B., Diniz, M. D. F. F. M., Quintans‐Júnior, L. J., & Scotti, L. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811518-3.00009-0 · Cited by 11 · see citing works

In Silico Analysis of Peptide Potential Biological Functions

Калмыкова, С. Д., Arapidi, G. P., Urban, A. S., Osetrova, M., Gordeeva, V. D., Иванов, В. Т., & Govorun, V. M. (2018) · Russian Journal of Bioorganic Chemistry · doi:10.1134/s106816201804009x · Cited by 11 · see citing works

Free Accessible Databases as a Source of Information about Food Components and Other Compounds with Anticancer Activity–Brief Review

Mińkiewicz, P., Turło, M., Iwaniak, A., & Darewicz, M. (2019) · Molecules · doi:10.3390/molecules24040789 · Cited by 6 · see citing works

Molecular representations in AI-driven drug discovery: a review and practical guide

David, L., Thakkar, A., Mercado, R., & Engkvist, O. (2020) · Journal of Cheminformatics · doi:10.1186/s13321-020-00460-5 · Cited by 587 · see citing works

Integration of Molecular Docking Analysis and Molecular Dynamics Simulations for Studying Food Proteins and Bioactive Peptides

Limón, A. M. V., Aguilar-Toalá, J. E., & Liceaga, A. M. (2022) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.1c06110 · Cited by 534 · see citing works

Plant protein-derived antioxidant peptides: Isolation, identification, mechanism of action and application in food systems: A review

Wen, C., Zhang, J., Zhang, H., Duan, Y., & Ma, H. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.09.019 · Cited by 462 · see citing works

A Global Review on Short Peptides: Frontiers and Perspectives

Apostolopoulos, V., Bojarska, J., Chai, T., Elnagdy, S. M., Kaczmarek, K., Matsoukas, J., New, R. R. C., Parang, K., Paredes‐López, O., Parhiz, H., et al. (2021) · Molecules · doi:10.3390/molecules26020430 · Cited by 441 · see citing works

Current Trends of Bioactive Peptides—New Sources and Therapeutic Effect

Jakubczyk, A., Karaś, M., Rybczyńska‐Tkaczyk, K., Zielińska, E., & Zieliński, D. (2020) · Foods · doi:10.3390/foods9070846 · Cited by 259 · see citing works

iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides

Charoenkwan, P., Yana, J., Nantasenamat, C., Hasan, M. M., & Shoombuatong, W. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c00707 · Cited by 193 · see citing works

Advances in the stability challenges of bioactive peptides and improvement strategies

Pei, J., Gao, X., Pan, D., Hua, Y., He, J., Liu, Z., & Dang, Y. (2022) · Current Research in Food Science · doi:10.1016/j.crfs.2022.10.031 · Cited by 189 · see citing works

Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges

Goshisht, M. K. (2024) · ACS Omega · doi:10.1021/acsomega.3c05913 · Cited by 169 · see citing works

Bioinformatics approaches to discovering food-derived bioactive peptides: Reviews and perspectives

Du, Z., Comer, J. R., & Li, Y. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.117051 · Cited by 161 · see citing works

In vivo bioactivities of food protein-derived peptides – a current review

Daroit, D. J., & Brandelli, A. (2021) · Current Opinion in Food Science · doi:10.1016/j.cofs.2021.01.002 · Cited by 158 · see citing works

Deep eutectic solvents as new media for green extraction of food proteins: Opportunity and challenges

Zhou, Y., Wu, W., Zhang, N., Soladoye, O. P., Zhang, Y., & Fu, Y. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111842 · Cited by 150 · see citing works

Industrial production of spirulina as a protein source for bioactive peptide generation

Lafarga, T., Sánchez‐Zurano, A., Villaró, S., Morillas‐España, A., & Acién, F. G. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2021.07.018 · Cited by 139 · see citing works

Brewer’s Spent Grains: Possibilities of Valorization, a Review

Chetrariu, A., & Dabija, A. (2020) · Applied Sciences · doi:10.3390/app10165619 · Cited by 138 · see citing works

UniDL4BioPep: a universal deep learning architecture for binary classification in peptide bioactivity

Du, Z., Ding, X., Xu, Y., & Li, Y. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad135 · Cited by 137 · see citing works

Identification of New Peptides from Fermented Milk Showing Antioxidant Properties: Mechanism of Action

Tonolo, F., Fiorese, F., Moretto, L., Folda, A., Scalcon, V., Grinzato, A., Ferro, S., Arrigoni, G., Bindoli, A., Feller, E., et al. (2020) · Antioxidants · doi:10.3390/antiox9020117 · Cited by 133 · see citing works

Antioxidant, antimicrobial and anticarcinogenic activities of bovine milk proteins and their hydrolysates - A review

Bielecka, M. M., Cichosz, G., & Czeczot, H. (2021) · International Dairy Journal · doi:10.1016/j.idairyj.2021.105208 · Cited by 132 · see citing works

UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning

Charoenkwan, P., Nantasenamat, C., Hasan, M. M., Moni, M. A., Manavalan, B., & Shoombuatong, W. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222313124 · Cited by 125 · see citing works

Bioactive peptides derived from fermented foods: Preparation and biological activities

Guo, Q., Chen, P., & Chen, X. (2023) · Journal of Functional Foods · doi:10.1016/j.jff.2023.105422 · Cited by 125 · see citing works

Effects of Various Drying Methods on Some Physico-Chemical Properties and the Antioxidant Profile and ACE Inhibition Activity of Oyster Mushrooms (Pleurotus Ostreatus)

Piskov, S., Timchenko, L. D., Grimm, W., Rzhepakovsky, I. V., Avanesyan, S. S., Sizonenko, M., & Kurchenko, V. (2020) · Foods · doi:10.3390/foods9020160 · Cited by 121 · see citing works

Meat and plant-based meat analogs: Nutritional profile and in vitro digestion comparison

Yang, Y., Zheng, Y., Ma, W., Zhang, Y., Sun, C., & Fang, Y. (2023) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2023.108886 · Cited by 121 · see citing works

Bioactive peptides from yeast: A comparative review on production methods, bioactivity, structure-function relationship, and stability

Mirzaei, M., Shavandi, A., Mirdamadi, S., Soleymanzadeh, N., Motahari, P., Mirdamadi, N., Moser, M., Subra, G., Alimoradi, H., & Goriely, S. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2021.10.008 · Cited by 119 · see citing works

Review and perspective on bioactive peptides: A roadmap for research, development, and future opportunities

Du, Z., & Li, Y. (2022) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2022.100353 · Cited by 112 · see citing works

Techniques, perspectives, and challenges of bioactive peptide generation: A comprehensive systematic review

Barati, M., Javanmardi, F., Jazayeri, S. M. H. M., Jabbari, M., Rahmani, J., Barati, F., Nickho, H., Davoodi, S. H., Roshanravan, N., & Khaneghah, A. M. (2020) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12578 · Cited by 108 · see citing works

iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method

Charoenkwan, P., Kanthawong, S., Nantasenamat, C., Hasan, M. M., & Shoombuatong, W. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00590 · Cited by 104 · see citing works

Antioxidant activity and peptidomic analysis of porcine liver hydrolysates using alcalase, bromelain, flavourzyme and papain enzymes

López‐Pedrouso, M., Borrajo, P., Pateiro, M., Lorenzo, J. M., & Franco, D. (2020) · Food Research International · doi:10.1016/j.foodres.2020.109389 · Cited by 103 · see citing works

Immunomodulatory peptides—A promising source for novel functional food production and drug discovery

Pavlićević, M., Marmiroli, N., & Maestri, E. (2021) · Peptides · doi:10.1016/j.peptides.2021.170696 · Cited by 102 · see citing works

In silico Approaches for the Design and Optimization of Interfering Peptides Against Protein–Protein Interactions

Hashemi, Z. S., Zarei, M., Fath, M. K., Ganji, M., Farahani, M. S., Afsharnouri, F., Pourzardosht, N., Khalesi, B., Jahangiri, A., Rahbar, M. R., et al. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.669431 · Cited by 101 · see citing works

pLM4ACE: A protein language model based predictor for antihypertensive peptide screening

Du, Z., Ding, X., Hsu, W. W. Y., Munir, A., Xu, Y., & Li, Y. (2023) · Food Chemistry · doi:10.1016/j.foodchem.2023.137162 · Cited by 98 · see citing works

DFBP: a comprehensive database of food-derived bioactive peptides for peptidomics research

Qin, D., Bo, W., Zheng, X., Hao, Y., Li, B., Zheng, J., & Liang, G. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac323 · Cited by 96 · see citing works

Umami-MRNN: Deep learning-based prediction of umami peptide using RNN and MLP

Qi, L., Du, J., Sun, Y., Xiong, Y., Zhao, X., Pan, D., Zhi, Y., Dang, Y., & Gao, X. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.134935 · Cited by 96 · see citing works

Identification and Characterization of Edible Cricket Peptides on Hypertensive and Glycemic In Vitro Inhibition and Their Anti-Inflammatory Activity on RAW 264.7 Macrophage Cells

Hall, F. G., Reddivari, L., & Liceaga, A. M. (2020) · Nutrients · doi:10.3390/nu12113588 · Cited by 94 · see citing works

Bioactive peptides generated in the processing of dry-cured ham

Toldrá, F., Gallego, M., Reig, M., Aristoy, M., & Mora, L. (2020) · Food Chemistry · doi:10.1016/j.foodchem.2020.126689 · Cited by 93 · see citing works

Fermented Soy-Derived Bioactive Peptides Selected by a Molecular Docking Approach Show Antioxidant Properties Involving the Keap1/Nrf2 Pathway

Tonolo, F., Moretto, L., Grinzato, A., Fiorese, F., Folda, A., Scalcon, V., Ferro, S., Arrigoni, G., Bellamio, M., Feller, E., et al. (2020) · Antioxidants · doi:10.3390/antiox9121306 · Cited by 93 · see citing works

Natural Compounds with Antimicrobial Properties in Cosmetics

Rybczyńska‐Tkaczyk, K., Grenda, A., Jakubczyk, A., Kiersnowska, K., & Bik-Małodzińśka, M. (2023) · Pathogens · doi:10.3390/pathogens12020320 · Cited by 93 · see citing works

Application of quantitative structure-activity relationship to food-derived peptides: Methods, situations, challenges and prospects

Bo, W., Chen, L., Qin, D., Geng, S., Li, J., Hu, M. Y., Li, B., & Liang, G. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2021.05.031 · Cited by 91 · see citing works

Purification, identification and molecular docking studies of antioxidant and anti-inflammatory peptides from Edible Bird's Nest

Lee, C. H., Hamdan, N., Nyakuma, B. B., Wong, S. L., Wong, K. Y., Tan, H., Jamaluddin, H., & Lee, T. H. (2024) · Food Chemistry · doi:10.1016/j.foodchem.2024.139797 · Cited by 91 · see citing works

Flavor and Metabolite Profiles of Meat, Meat Substitutes, and Traditional Plant-Based High-Protein Food Products Available in Australia

Kaczmarska, K. T., Taylor, M. C., Piyasiri, U., & Frank, D. C. (2021) · Foods · doi:10.3390/foods10040801 · Cited by 88 · see citing works

Artificial intelligence and food flavor: How AI models are shaping the future and revolutionary technologies for flavor food development

Cui, Z., Qi, C., Zhou, T., Yu, Y., Wang, Y., Zhang, Z., Zhang, Y., Wang, W., & Liu, Y. (2025) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.70068 · Cited by 88 · see citing works

Chemically acidified, live and heat-inactivated fermented dairy yoghurt show distinct bioactive peptides, free amino acids and small compounds profiles

Nielsen, S. D.-H., Jakobsen, L. M. A., Geiker, N. R. W., & Bertram, H. C. (2021) · Food Chemistry · doi:10.1016/j.foodchem.2021.131919 · Cited by 87 · see citing works

Bioactive peptides of whey: obtaining, activity, mechanism of action, and further applications

Olvera-Rosales, L. B., Cruz-Guerrero, A. E., García-Garibay, J. M., Gómez‐Ruiz, L., Contreras‐López, E., Guzmán‐Rodríguez, F., & González-Olivares, L. G. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2079113 · Cited by 87 · see citing works

Milk-Derived Antimicrobial Peptides: Overview, Applications, and Future Perspectives

Singh, A., Duche, R. T., Wandhare, A. G., Kaur, J., Singh, B. P., Sihag, M. K., Singh, K. S., Sangwan, V., Talan, S., & Panwar, H. (2022) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-022-10004-y · Cited by 86 · see citing works

Characterization of the structure, antioxidant activity and hypoglycemic activity of soy (Glycine max L.) protein hydrolysates

Xu, Y., Yang, Y., Ma, C., Bian, X., Liu, X.-F., Wang, Y., Chen, F., Wang, B., Zhang, G., & Zhang, N. (2023) · Food Research International · doi:10.1016/j.foodres.2023.113473 · Cited by 84 · see citing works

Food-derived dipeptidyl peptidase IV inhibitory peptides: Production, identification, structure-activity relationship, and their potential role in glycemic regulation

Zhang, M., Zhu, L., Wu, G., Liu, T., Qi, X., & Zhang, H. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2120454 · Cited by 80 · see citing works

Identification, in silico selection, and mechanism study of novel antioxidant peptides derived from the rice bran protein hydrolysates

Ren, L., Fan, J., Yang, Y., Liu, X.-F., Wang, B., Bian, X., Wang, D.-F., Xu, Y., Liu, B., Zhu, P.-Y., et al. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.135230 · Cited by 80 · see citing works

Computational Design and Manufacturing of Sustainable Materials through First-Principles and Materiomics

Shen, S. C.-Y., Khare, E., Lee, N., Saad, M. K., Kaplan, D. L., & Buehler, M. J. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00479 · Cited by 78 · see citing works

Technological and bioactive properties of wheat glutenin hydrolysates prepared with various commercial proteases

Bozkurt, F., Beki̇roğlu, H., Dogan, K., Karasu, S., & Sağdıç, O. (2021) · LWT · doi:10.1016/j.lwt.2021.111787 · Cited by 77 · see citing works

Applications and analysis of hydrolysates in animal cell culture

Ho, Y. Y., Lu, H., Lim, Z. F. S., Lim, H. W., Ho, Y. S., & Ng, S. K. (2021) · Bioresources and Bioprocessing · doi:10.1186/s40643-021-00443-w · Cited by 77 · see citing works

Antioxidant peptides derived from potato, seaweed, microbial and spinach proteins: Oxidative stability of 5% fish oil-in-water emulsions

Yeşiltaş, B., García‐Moreno, P. J., Echers, S. G., Olsen, T. H., Jones, N. C., Hoffmann, S. V., Marcatili, P., Overgaard, M. T., Hansen, E. B., & Jacobsen, C. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.132699 · Cited by 77 · see citing works

Conventional and in silico approaches to select promising food-derived bioactive peptides: A review

Peredo-Lovillo, A. G., Hernández‐Mendoza, A., Vallejo‐Córdoba, B., & Romero‐Luna, H. E. (2021) · Food Chemistry X · doi:10.1016/j.fochx.2021.100183 · Cited by 76 · see citing works

Artificial intelligence in food bioactive peptides screening: Recent advances and future prospects

Chang, J. Y., Wang, H., Su, W., He, X., & Tan, M. (2024) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2024.104845 · Cited by 74 · see citing works

Sequential alcalase and flavourzyme treatment for preparation of α-amylase, α-glucosidase, and dipeptidyl peptidase (DPP)-IV inhibitory peptides from oat protein

Fuentes, L., Richard, C., & Chen, L. (2021) · Journal of Functional Foods · doi:10.1016/j.jff.2021.104829 · Cited by 73 · see citing works

Strengths and limitations of in silico tools to assess physicochemical properties, bioactivity, and bioavailability of food-derived peptides

Rivero‐Pino, F., Millán-Linares, M. C., & la Paz, S. M. (2023) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2023.06.023 · Cited by 73 · see citing works

An innovative two-step enzyme-assisted aqueous extraction for the production of reduced bitterness soybean protein hydrolysates with high nutritional value

Tong, X., Lian, Z., Miao, L., Qi, B., Zhang, S., Li, Y., Wang, H., & Jiang, L. (2020) · LWT · doi:10.1016/j.lwt.2020.110151 · Cited by 72 · see citing works

Antioxidant peptides derived from hydrolyzed milk proteins by Lactobacillus strains: A BIOPEP-UWM database-based analysis

Cui, L., Guo, Y., Lu, S., Zeng, X., He, J., Guo, Y., Pan, D., & Wu, Z. F. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111339 · Cited by 72 · see citing works

Valorization of coffee industry wastes: Comprehensive physicochemical characterization of coffee silverskin and multipurpose recycling applications

Nolasco, A., Squillante, J., Velotto, S., D’Auria, G., Ferranti, P., Mamone, G., Errico, M. E., Avolio, R., Castaldo, R., Cirillo, T., et al. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.133520 · Cited by 72 · see citing works

Successive extraction using natural deep eutectic solvents and pressurized liquids for a greener and holistic recovery of proteins from pomegranate seeds

Guzmán-Lorite, M., Marina, M. L., & García, M. C. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111862 · Cited by 72 · see citing works

Characteristics of Food Protein-Derived Antidiabetic Bioactive Peptides: A Literature Update

Nong, N. T. P., & Hsu, J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22179508 · Cited by 70 · see citing works

Development of Antioxidant and Antihypertensive Properties during Growth of Lactobacillus helveticus, Lactobacillus rhamnosus and Lactobacillus reuteri on Cow’s Milk: Fermentation and Peptidomics Study

Бегунова, А. В., Savinova, О. S., Glazunova, O. A., Moiseenko, K. V., Рожкова, И. В., & Федорова, Т. В. (2020) · Foods · doi:10.3390/foods10010017 · Cited by 69 · see citing works

Enzyme kinetics, molecular docking, and in silico characterization of canary seed (Phalaris canariensis L.) peptides with ACE and pancreatic lipase inhibitory activity

Urbizo-Reyes, U., Liceaga, A. M., Reddivari, L., Kim, K., & Anderson, J. M. (2021) · Journal of Functional Foods · doi:10.1016/j.jff.2021.104892 · Cited by 68 · see citing works

Applications of deep learning in understanding gene regulation

Li, Z., Gao, E., Zhou, J., Han, W., Xu, X., & Gao, X. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100384 · Cited by 68 · see citing works

Characterization and structure–activity relationship of novel umami peptides isolated from Thai fish sauce

Bu, Y., Liu, Y., Luan, H., Zhu, W., Li, X., & Li, J. (2021) · Food & Function · doi:10.1039/d0fo03326j · Cited by 67 · see citing works

Identification and molecular interactions of novel ACE inhibitory peptides from rapeseed protein

Duan, X., Dong, Y., Zhang, M., Li, Z., Bu, G., & Chen, F. (2023) · Food Chemistry · doi:10.1016/j.foodchem.2023.136085 · Cited by 67 · see citing works

Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs

Lertampaiporn, S., Vorapreeda, T., Hongsthong, A., & Thammarongtham, C. (2021) · Genes · doi:10.3390/genes12020137 · Cited by 66 · see citing works

Bioactive peptides in fermented foods and their application: a critical review

Chourasia, R., Phukon, L. C., Abedin, M. M., Padhi, S., Singh, S. P., & Kumar, A. (2022) · Systems Microbiology and Biomanufacturing · doi:10.1007/s43393-022-00125-4 · Cited by 65 · see citing works

A screening strategy for identifying umami peptides with multiple bioactivities from Stropharia rugosoannulata using in silico approaches and SPR sensing

Li, J., Liu, X., Li, W., Wu, D., Zhang, Z., Chen, W., & Yang, Y. (2023) · Food Chemistry · doi:10.1016/j.foodchem.2023.137057 · Cited by 65 · see citing works

In Silico and In Vitro Analysis of Multifunctionality of Animal Food-Derived Peptides

Amigo, L., Martínez‐Maqueda, D., & Hernández‐Ledesma, B. (2020) · Foods · doi:10.3390/foods9080991 · Cited by 64 · see citing works

Characterization of ACE inhibitory and antioxidant peptides in yak and cow milk hard chhurpi cheese of the Sikkim Himalayan region

Abedin, M. M., Chourasia, R., Phukon, L. C., Singh, S. P., & Rai, A. K. (2022) · Food Chemistry X · doi:10.1016/j.fochx.2022.100231 · Cited by 64 · see citing works

Identification, taste characterization, and molecular docking study of a novel microbiota-derived umami peptide

An, F., Cao, K., Ji, S., Wang, Y., Pan, G., Ma, Y., Zhao, Y., Wu, J., & Wu, R. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.134583 · Cited by 64 · see citing works

Screening and Characterization of novel umami peptides in Cheddar cheese using peptidomics and bioinformatics approaches

Gu, Y., Zhang, J., Niu, Y., Sun, B., Liu, Z., Mao, X., & Zhang, Y. (2024) · LWT · doi:10.1016/j.lwt.2024.115780 · Cited by 64 · see citing works

Potential of green and roasted coffee beans and spent coffee grounds to provide bioactive peptides

Ribeiro, E., Rocha, T. D. S., & Prudêncio, S. H. (2021) · Food Chemistry · doi:10.1016/j.foodchem.2021.129061 · Cited by 64 · see citing works

Lentil and Fava Bean With Contrasting Germination Kinetics: A Focus on Digestion of Proteins and Bioactivity of Resistant Peptides

Bautista-Expósito, S., Vandenberg, A., Peñas, E., Frı́as, J., & Martínez‐Villaluenga, C. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.754287 · Cited by 63 · see citing works

A Novel Insight into Screening for Antioxidant Peptides from Hazelnut Protein: Based on the Properties of Amino Acid Residues

Shi, C., Liu, M., Zhao, H., Lv, Z., Liang, L., & Zhang, B. (2022) · Antioxidants · doi:10.3390/antiox11010127 · Cited by 63 · see citing works

Comprehensive Evaluation and Comparison of Machine Learning Methods in QSAR Modeling of Antioxidant Tripeptides

Du, Z., Wang, D., & Li, Y. (2022) · ACS Omega · doi:10.1021/acsomega.2c03062 · Cited by 62 · see citing works

BIOPEP-UWM Virtual—A Novel Database of Food-Derived Peptides with In Silico-Predicted Biological Activity

Mińkiewicz, P., Iwaniak, A., & Darewicz, M. (2022) · Applied Sciences · doi:10.3390/app12147204 · Cited by 61 · see citing works

Bioactive Antimicrobial Peptides from Food Proteins: Perspectives and Challenges for Controlling Foodborne Pathogens

Corrêa, J. A. F., Nazareth, T. D. M., da Rocha, G. F., & Luciano, F. B. (2023) · Pathogens · doi:10.3390/pathogens12030477 · Cited by 61 · see citing works

Accelerating bioactive peptide discovery via mutual information-based meta-learning

He, W., Jiang, Y., Jin, J., Li, Z., Zhao, J., Manavalan, B., Su, R., Gao, X., & Wei, L. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab499 · Cited by 61 · see citing works

Screening of Novel Bioactive Peptides from Goat Casein: In Silico to In Vitro Validation

Coscueta, E. R., Batista, P., Gomes, J. E. G., da Silva, R., & Pintado, M. M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23052439 · Cited by 60 · see citing works

Virtual Screening of Peptide Libraries: The Search for Peptide-Based Therapeutics Using Computational Tools

Vincenzi, M., Mercurio, F. A., & Leone, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031798 · Cited by 60 · see citing works

Comprehensive review on some food-derived bioactive peptides with anti-hypertension therapeutic potential for angiotensin-converting enzyme (ACE) inhibition

Olalere, O. A., Yap, P., & Gan, C. (2023) · Journal of Proteins and Proteomics · doi:10.1007/s42485-023-00106-8 · Cited by 59 · see citing works

Dipeptidyl peptidase-IV inhibitory activity of millet protein peptides and the related mechanisms revealed by molecular docking

Gu, H., Gao, J., Shen, Q., Gao, D., Wang, Q., Tangyu, M., & Mao, X. (2020) · LWT · doi:10.1016/j.lwt.2020.110587 · Cited by 59 · see citing works

In vitro and in silico analysis of potential antioxidant peptides obtained from chicken hydrolysate produced using Alcalase

Xiao, C., Toldrá, F., Zhao, M., Zhou, F., Luo, D., Jia, R., & Mora, L. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111253 · Cited by 58 · see citing works

Novel antioxidant peptides from protein hydrolysates of scallop (Argopecten irradians) mantle using enzymatic and microbial methods: Preparation, purification, identification and characterization

Zhi, T., Li, X., Sadiq, F. A., Mao, K., Gao, J., Mi, S., Liu, X., Deng, W., Chitrakar, B., & Sang, Y. (2022) · LWT · doi:10.1016/j.lwt.2022.113636 · Cited by 58 · see citing works

In Silico Analysis of Bioactive Peptides Produced from Underutilized Sea Cucumber By-Products—A Bioinformatics Approach

Senadheera, T. R. L., Hossain, A., Dave, D., & Shahidi, F. (2022) · Marine Drugs · doi:10.3390/md20100610 · Cited by 58 · see citing works

Molecular Modelling in Bioactive Peptide Discovery and Characterisation

Agoni, C., Fernández-Díaz, R., Timmons, P. B., Adelfio, A., Gómez, H., & Shields, D. C. (2025) · Biomolecules · doi:10.3390/biom15040524 · Cited by 59 · see citing works

Prediction of ACE-I Inhibitory Peptides Derived from Chickpea (Cicer arietinum L.): In Silico Assessments Using Simulated Enzymatic Hydrolysis, Molecular Docking and ADMET Evaluation

Arámburo-Gálvez, J. G., Arvizu-Flores, A. A., Cárdenas-Torres, F. I., Cabrera‐Chávez, F., Ramírez-Torres, G. I., Flores-Mendoza, L. K., Gastelum-Acosta, P. E., Figueroa-Salcido, O. G., & Ontiveros, N. (2022) · Foods · doi:10.3390/foods11111576 · Cited by 57 · see citing works

Phytochemical Characterization, Antioxidant Activity, and Cytotoxicity of Methanolic Leaf Extract of Chlorophytum Comosum (Green Type) (Thunb.) Jacq

Rzhepakovsky, I. V., Areshidze, D. A., Avanesyan, S. S., Grimm, W., Filatova, N. V., Kalinin, A. V., Kochergin, S., Kozlova, M., Kurchenko, V. P., Sizonenko, M., et al. (2022) · Molecules · doi:10.3390/molecules27030762 · Cited by 56 · see citing works

Bioactive Peptides: An Understanding from Current Screening Methodology

Nong, N. T. P., & Hsu, J. (2022) · Processes · doi:10.3390/pr10061114 · Cited by 54 · see citing works

Deep learning drives efficient discovery of novel antihypertensive peptides from soybean protein isolate

Zhang, Y., Dai, Z., Zhao, X., Chen, C., Li, S., Meng, Y., Suonan, Z., Sun, Y., Shen, Q., Wang, L., et al. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.134690 · Cited by 54 · see citing works

Identification and Characterization of Novel Bioactive Peptide From Red Seaweed (Pyropia vietnamensis) Proteins

Basri, N. I., Amin, A. M., & Ahmad, F. (2025) · Quality Assurance and Safety of Crops & Foods · doi:10.15586/qas.v17i1.1525 · Cited by 55 · see citing works

Effect of Gelatin Coating Enriched with Antioxidant Tomato By-Products on the Quality of Pork Meat

Gallego, M., Arnal, M., Talens, P., Toldrá, F., & Mora, L. (2020) · Polymers · doi:10.3390/polym12051032 · Cited by 54 · see citing works

Characteristics of Biopeptides Released In Silico from Collagens Using Quantitative Parameters

Iwaniak, A., Mińkiewicz, P., Pliszka, M., Mogut, D., & Darewicz, M. (2020) · Foods · doi:10.3390/foods9070965 · Cited by 54 · see citing works

In vivo challenges of anti-diabetic peptide therapeutics: Gastrointestinal stability, toxicity and allergenicity

Yap, P., & Gan, C. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.09.005 · Cited by 54 · see citing works

Physical and oxidative stability of oil-in-water (O/W) emulsions in the presence of protein (peptide): Characteristics analysis and bioinformatics prediction

Tong, X., Cao, J., Sun, M., Liao, P., Dai, S., Cui, W., Cheng, X., Li, Y., Jiang, L., & Wang, H. (2021) · LWT · doi:10.1016/j.lwt.2021.111782 · Cited by 53 · see citing works

A structural explanation for protein digestibility changes in different food matrices

Chen, J., Gao, Q., Zhang, X., Bassey, A. P., Zeng, X., Zhou, G., & Xu, X. (2022) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2022.108281 · Cited by 53 · see citing works

Advancing oral delivery of biologics: Machine learning predicts peptide stability in the gastrointestinal tract

Wang, F., Sangfuang, N., McCoubrey, L. E., Yadav, V., Elbadawi, M., Orlu, M., Gaisford, S., & Basit, A. W. (2023) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2023.122643 · Cited by 53 · see citing works

Prospects and challenges for the application of salty and saltiness-enhancing peptides in low-sodium meat products

Chen, R., Liu, X., Xiang, J., Sun, W., & Tomasevic, I. B. (2023) · Meat Science · doi:10.1016/j.meatsci.2023.109261 · Cited by 53 · see citing works

In silico analysis of novel dipeptidyl peptidase-IV inhibitory peptides released from Macadamia integrifolia antimicrobial protein 2 (MiAMP2) and the possible pathways involved in diabetes protection

Zhao, L., Zhang, M., Pan, F., Li, J., Dou, R., Wang, X., Wang, Y., He, Y., Wang, S., & Cai, S. (2021) · Current Research in Food Science · doi:10.1016/j.crfs.2021.08.008 · Cited by 52 · see citing works

MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides

Li, Y., Li, X., Liu, Y., Yao, Y., & Huang, G. (2022) · Pharmaceuticals · doi:10.3390/ph15060707 · Cited by 52 · see citing works

Rational Discovery of Antimicrobial Peptides by Means of Artificial Intelligence

Puentes, P. R., Henao, M. C., Cifuentes, J., Muñoz-Camargo, C., Reyes, L. H., Cruz, J. C., & Arbeláez, P. (2022) · Membranes · doi:10.3390/membranes12070708 · Cited by 52 · see citing works

Fermentation of spent coffee grounds by Bacillus clausii induces release of potentially bioactive peptides

Ramírez, K., Pineda‐Hidalgo, K. V., & Rochín-Medina, J. J. (2020) · LWT · doi:10.1016/j.lwt.2020.110685 · Cited by 52 · see citing works

BIOPEP-UWM database — present and future

Iwaniak, A., Mińkiewicz, P., & Darewicz, M. (2023) · Current Opinion in Food Science · doi:10.1016/j.cofs.2023.101108 · Cited by 50 · see citing works

The Repository of Amino Acids and Their Modifications—A Tool for Enlarging the Space of Food-Derived and Other Peptides in the BIOPEP-UWM Database

Iwaniak, A., Mińkiewicz, P., & Darewicz, M. (2026) · Applied Sciences · doi:10.3390/app16157490

BIOPEP-UWM Virtual—A Novel Database of Food-Derived Peptides with In Silico-Predicted Biological Activity

Mińkiewicz, P., Iwaniak, A., & Darewicz, M. (2022) · Applied Sciences · doi:10.3390/app12147204 · Cited by 61 · see citing works

BioPepDB: an integrated data platform for food-derived bioactive peptides

Li, Q., Zhang, C., Chen, H., Xue, J., Guo, X., Liang, M., & Chen, M. (2018) · Figshare · doi:10.6084/m9.figshare.5976640

Prediction of the Potential of Food Proteins as Sources of Biopeptides Using BIOPEP-UWM Database

Iwaniak, A., Darewicz, M., & Mińkiewicz, P. (2024) · European Nutrition Conference (FENS) · doi:10.3390/proceedings2023091352 · Cited by 2 · see citing works