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BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities
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The BIOPEP-UWM™ database of bioactive peptides (formerly BIOPEP) has recently become a popular tool in the research on bioactive peptides, especially on these derived from foods and being constituents of diets that prevent development of chronic diseases. The database is continuously updated and modified. The addition of new peptides and the introduction of new information about the existing ones (e.g., chemical codes and references to other databases) is in progress. New opportunities include the possibility of annotating peptides containing D-enantiomers of amino acids, batch processing option, converting amino acid sequences into SMILES code, new quantitative parameters characterizing the presence of bioactive fragments in protein sequences, and finding proteinases that release particular peptides.
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“Libraries of bioactive peptide sequences obtained via proteolysis of food proteins are widely available in databases like BIOPEP-UWM and contain modules of in silico proteolysis, activity prediction, and structure-function analysis [209].”
From Navigating the potential of algal peptides: health effects, market applications, and scientific challenges (2026) · cites this paper as [209]
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“Biological informatics platforms based on machine learning and artificial intelligence (AI) have transformed the field of peptide studies by allowing predictions of bioactivity, toxicity, physicochemical properties, and possible health impact within hours.”
From Navigating the potential of algal peptides: health effects, market applications, and scientific challenges (2026) · cites this paper as [209]
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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 10,745
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
Weininger, D. (1988) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci00057a005 · Cited by 7,436
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
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
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
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
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
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
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
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- Skrzypczak, 2019, Effects of probiotic fermentation of selected milk and whey protein preparations on bioactive peptides and technological properties, Ital. J. Food Sci., 31, 437
Cited by
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Items 301–400 of 966
Zhang, W., Jia, N., Zhu, Z., Wang, Y., Wang, J., & Xue, C. (2021) · LWT · doi:10.1016/j.lwt.2021.112306 · Cited by 21
The Stability of Food Bioactive Peptides in Blood: An Overview
Gülseren, İ., & Sarıcaoğlu, B. (2021) · International Journal of Peptide Research and Therapeutics · doi:10.1007/s10989-021-10321-w · Cited by 21
Wu, C., Guo, J., Jian, H., Liu, L., Zhang, H., Yang, N., Xu, H., & Lei, H. (2023) · Food Microbiology · doi:10.1016/j.fm.2023.104288 · Cited by 21
Wong, F., Ong, J., & Chai, T. (2020) · eFood · doi:10.2991/efood.k.200918.002 · Cited by 21
Paterson, S., Alonso-Pintre, L., Morato-López, E., González de la Fuente, S., Gómez-Cortés, P., & Hernández-Ledesma, B. (2025) · Foods · doi:10.3390/foods14020252 · Cited by 20
Huang, Y., Masarweh, C. F., Paviani, B., Mills, D. A., & Barile, D. (2024) · Food Chemistry · doi:10.1016/j.foodchem.2024.140635 · Cited by 20
Mildenberger, J., Remm, M., & Atanassova, M. (2021) · LWT · doi:10.1016/j.lwt.2021.111678 · Cited by 20
Devita, L., Lioe, H. N., Nurilmala, M., & Suhartono, M. T. (2021) · Foods · doi:10.3390/foods10112739 · Cited by 20
Cabizza, R., Fancello, F., Petretto, G. L., Addis, R., Pisanu, S., Pagnozzi, D., Piga, A., & Urgeghe, P. P. (2021) · Foods · doi:10.3390/foods10123137 · Cited by 20
Zhang, L., Li, N., Chen, S., Bian, X., Farag, M. A., Ge, Y., Xiao, J., & Wu, J. (2022) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2022.116818 · Cited by 20
Teixeira, C. S. S., Villa, C., Sousa, S. F., Costa, J. S., Ferreira, I. M. P. L. V. O., & Mafra, I. (2023) · Food Research International · doi:10.1016/j.foodres.2023.112847 · Cited by 20
Du, A., & Jia, W. (2023) · Food Research International · doi:10.1016/j.foodres.2023.112948 · Cited by 20
Dhar, H., Verma, S., Dogra, S., Katoch, S., Vij, R., Singh, G., & Sharma, M. (2023) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2023.2212803 · Cited by 20
Kęska, P., Stadnik, J., Łupawka, A., & Michalska, A. (2023) · Nutrients · doi:10.3390/nu15163539 · Cited by 20
Zhang, M., Zhu, L., Zhang, H., Wang, X., Liu, T., Qi, X., & Wu, G. (2023) · Food Bioscience · doi:10.1016/j.fbio.2023.103374 · Cited by 20
Hu, Y.-Y., Xiao, S., Zhou, G., Chen, X., Wang, B., & Wang, J. (2024) · Food Research International · doi:10.1016/j.foodres.2024.114367 · Cited by 20
Wu, X., Liu, H., Han, J., Zhou, Z., Chen, J., & Liu, X. (2024) · Food Chemistry · doi:10.1016/j.foodchem.2024.139585 · Cited by 20
Borawska, J., Darewicz, M., & Tarczyńska, A. S. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255969 · Cited by 20
Self-citationCzelej, M., Garbacz, K., Czernecki, T., Rachwał, K., Wawrzykowski, J., & Waśko, A. D. (2025) · Molecules · doi:10.3390/molecules30071451 · Cited by 19
Yang, T., Meng, Y., Li, S., Zhao, X. Y., & Hou, H. (2025) · Food Research International · doi:10.1016/j.foodres.2025.116592 · Cited by 19
Possibilities and limitations of artificial intelligence in food‐derived peptides
Zhao, C., He, Z., & Ashaolu, T. J. (2025) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.70099 · Cited by 19
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Choudhury, P. R., Mishra, S. K., Yadav, S., Singh, S., & Mathur, P. (2025) · Journal of Peptide Science · doi:10.1002/psc.70063 · Cited by 20
Köse, A., & Öncel, S. Ş. (2022) · Peptides · doi:10.1016/j.peptides.2022.170783 · Cited by 19
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Ghanbarzadeh, Z., Hemmati, S., & Mohagheghzadeh, A. (2022) · Biochimie · doi:10.1016/j.biochi.2022.04.011 · Cited by 19
Gupta, P., Geniza, M. J., Elser, J. L., Al-Bader, N., Baschieri, R., Phillips, J. L., Haq, E., Preece, J., Naithani, S., & Jaiswal, P. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1272966 · Cited by 19
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Mińkiewicz, P., Iwaniak, A., & Darewicz, M. (2024) · Current Opinion in Food Science · doi:10.1016/j.cofs.2024.101125 · Cited by 19
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Indiran, A. P., Fatima, H., Chattopadhyay, S., Ramadoss, S., & Radhakrishnan, Y. (2024) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2024.108116 · Cited by 19
Wei, Y.-F., Wang, J., Luo, Y.-J., Zhao, X.-F., Zou, L.-H., Qiu, X., Nie, S., & Liu, H.-Y. (2024) · LWT · doi:10.1016/j.lwt.2024.116497 · Cited by 19
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Naik, A. S., Mora, L., & Hayes, M. (2020) · Applied Sciences · doi:10.3390/app10196892 · Cited by 19
Çağlar, A. F., Göksu, A. G., Çakır, B., & Gülseren, İ. (2021) · Food Chemistry X · doi:10.1016/j.fochx.2021.100151 · Cited by 19
Casas, V. G., Seiquer, I., Pardo, Z., Haro, A., Recio, I., & Olías, R. (2022) · Antioxidants · doi:10.3390/antiox11091827 · Cited by 19
Liu, Y., Berrada, H., Castagnini, J. M., & Barba, F. J. (2024) · Food Chemistry · doi:10.1016/j.foodchem.2024.142283 · Cited by 18
Purohit, K., Pathak, R., Hayes, E., & Sunna, A. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2025.144432 · Cited by 18
Shao, S., Sun, H., Muhammad, Y., Huang, H., Wang, R., Nie, S., Huang, M., Zhao, Z., & Zhao, Z. (2021) · Food Research International · doi:10.1016/j.foodres.2021.110144 · Cited by 18
Cheng, S., Wang, Y., Chen, H., Liu, H., Wang, L., Battino, M. A., Yao, X., Zhu, B., & Du, M. (2021) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.1c03414 · Cited by 18
Yin, H., Jiang, Y., Zhou, X., Zhong, Y. X., Wang, D., Deng, Y., & Xue, H. (2022) · Journal of Food Science · doi:10.1111/1750-3841.16266 · Cited by 18
Farias, T. C., de Abreu, J. P., Oliveira, J. P. D. S., Macedo, A. F., Rodríguez-Vega, A., Tonin, A. P. P., Cardoso, F. S. N., Meurer, E. C., & Koblitz, M. G. B. (2022) · Food Hydrocolloids for Health · doi:10.1016/j.fhfh.2022.100112 · Cited by 18
Sutopo, C. C. Y., Aznam, N., Arianingrum, R., & Hsu, J. (2023) · Peptides · doi:10.1016/j.peptides.2023.171046 · Cited by 18
Chang, R., Zhou, Z., Dong, Y., Xu, Y., Ji, Z., Liu, S., Gong, M., & Mao, J. (2023) · Journal of Food Composition and Analysis · doi:10.1016/j.jfca.2023.105822 · Cited by 18
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Dhaouafi, J., Romdhani, M., Deracinois, B., Flahaut, C., Nedjar, N., & Balti, R. (2024) · Biocatalysis and Agricultural Biotechnology · doi:10.1016/j.bcab.2024.103211 · Cited by 18
Briceño-Islas, G., Mojica, L., & Urías‐Silvas, J. E. (2024) · Food Chemistry · doi:10.1016/j.foodchem.2024.140406 · Cited by 18
Chen, Q., Ge, Y., He, X., Li, S., Fang, Z., Cheng, L., & Chen, H. (2024) · Food Chemistry · doi:10.1016/j.foodchem.2024.140741 · Cited by 20
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Luo, Z., Su, K., & Zhang, X. (2020) · Plant Foods for Human Nutrition · doi:10.1007/s11130-020-00850-y · Cited by 18
Biologia futura: medicinal plants-derived bioactive peptides in functional perspective—a review
Meena, S., Kanthaliya, B., Joshi, A., Khan, F., & Arora, J. (2020) · Biologia Futura · doi:10.1007/s42977-020-00042-4 · Cited by 18
Montone, C. M., Aita, S. E., Cavaliere, C., Cerrato, A., Laganà, A., Piovesana, S., & Capriotti, A. L. (2021) · Molecules · doi:10.3390/molecules26216472 · Cited by 18
Cerrato, A., Aita, S. E., Capriotti, A. L., Cavaliere, C., Montone, A. M. I., Montone, C. M., & Laganà, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063193 · Cited by 18
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Yue, J., Li, T., Ouyang, J., Xu, J., Tan, H., Chen, Z., Han, C., Li, H., Liang, S., Liu, Z., et al. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013602 · Cited by 17
Tang, H., Wang, C., Cao, S., & Wang, F. (2022) · Journal of Food Biochemistry · doi:10.1111/jfbc.14411 · Cited by 17
Chan, P.-T., Matanjun, P., Budiman, C., Shapawi, R., & Lee, J. (2022) · Foods · doi:10.3390/foods11243991 · Cited by 17
Manzanarez-Quin, C. G., García‐Romo, J. S., Beltrán‐Barrientos, L. M., Torres‐Llanez, M. J., Mazorra-Manzano, M. A., Hernández‐Mendoza, A., González-Córdova, A. F., & Vallejo‐Córdoba, B. (2023) · ACS Food Science & Technology · doi:10.1021/acsfoodscitech.2c00347 · Cited by 17
Rodhi, A. M., Yap, P., Olalere, O. A., & Gan, C. (2023) · Food Chemistry Advances · doi:10.1016/j.focha.2023.100244 · Cited by 17
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Wong, F., & Chai, T. (2023) · Biology · doi:10.3390/biology12070917 · Cited by 17
Hassan, M. T., Tayara, H., & Chong, K. T. (2024) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2024.3489614 · Cited by 17
Pan, F., Zhou, N., Li, J., Du, X., Zhao, L., Wang, C., Zhang, M., & Ai, X. (2020) · ES Food & Agroforestry · doi:10.30919/esfaf1116 · Cited by 17
Daher, D., Deracinois, B., Courcoux, P., Baniel, A., Chollet, S., Froidevaux, R., & Flahaut, C. (2021) · Foods · doi:10.3390/foods10061312 · Cited by 17
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Heres, A., Saldaña, C., Toldrá, F., & Mora, L. (2021) · Food Chemistry Molecular Sciences · doi:10.1016/j.fochms.2021.100048 · Cited by 17
Delaunay, M., & Ha‐Duong, T. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1855-4_11 · Cited by 17
Liu, Y., Berrada, H., Wang, M., Zhou, J., Kousoulaki, K., Barba, F. J., & Castagnini, J. M. (2024) · Food and Bioprocess Technology · doi:10.1007/s11947-024-03553-3 · Cited by 16
Chen, Z., Xia, Y., & Liang, G. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2025.144616 · Cited by 16
Ma, S., Li, X., Sun, Y., Mi, R., Li, Y., Wen, Z., Meng, N., Yi, L., Du, X., & Li, S. (2021) · Journal of Insect Science · doi:10.1093/jisesa/ieab013 · Cited by 17
Peslerbes, M., Fellenberg, M. A., Jardin, J., Deglaire, A., & Ibáñez, R. A. (2022) · Foods · doi:10.3390/foods11162429 · Cited by 16
Bougatef, H., de la Vega-Fernández, C., Sila, A., Bougatef, A., & Martínez‐Álvarez, Ó. (2023) · Marine Drugs · doi:10.3390/md21020131 · Cited by 16
Gao, Y., Fu, Y., Li, N., Jiang, Y., Liu, X., Gao, C., Wang, L., Wu, J., & Zhou, T. (2023) · Food Chemistry · doi:10.1016/j.foodchem.2023.136321 · Cited by 16
Hsiang, C., Lo, H., Lu, G., Liao, P.-Y., & Ho, T. (2023) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2023.117435 · Cited by 16
Hong, K., Rong, Y., Jiang, Y., Yuan, J., Wu, F., Gao, L., & Wu, X. (2025) · Food and Bioprocess Technology · doi:10.1007/s11947-025-03755-3 · Cited by 16
Rivero‐Pino, F., la Rosa, T. G., Torrecillas-López, M., Barrera‐Chamorro, L., Rio-Vazquez, J. L. D., Marquez‐Paradas, E., Fernández‐Prior, Á., García‐Vaquero, M., García‐Gómez, J. C., la Paz, S. M., et al. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2025.143084 · Cited by 16
Characteristics of Potential Protein Nutraceuticals of Plant Origin with Antioxidant Activity
Szerszunowicz, I., & Kłobukowski, J. (2020) · Molecules · doi:10.3390/molecules25071621 · Cited by 16
Prados, I. M., Plaza, M., Marina, M. L., & García, M. C. (2020) · Food & Function · doi:10.1039/d0fo00576b · Cited by 16
Lammi, C., Boschin, G., Bollati, C., Arnoldi, A., Galaverna, G., & Dellafiora, L. (2021) · Food Research International · doi:10.1016/j.foodres.2021.110753 · Cited by 16
Gregersen, S., Pertseva, M., Marcatili, P., Holdt, S. L., Jacobsen, C., García-Moreno, P. J., Hansen, E. B., & Overgaard, M. T. (2022) · Algal Research · doi:10.1016/j.algal.2021.102619 · Cited by 15
Chen, S., Pan, H., Huan, P., Wang, S., Sun, L., Ning, D., Ma, T., & Zhuang, Y. (2025) · Food Research International · doi:10.1016/j.foodres.2025.116487 · Cited by 15
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Gao, L., Zhou, T., Yuan, J. X., Zhang, S., Hong, K., Zhang, Z., Hau, L. C., Cheang, W. S., Zhou, C.-C., & Wu, X. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.169604 · Cited by 15
Nunzio, M. D., Loffi, C., Chiarello, E., Dellafiora, L., Picone, G., Antonelli, G., Gregorio, C. D., Capozzi, F., Tedeschi, T., Galaverna, G., et al. (2022) · Molecules · doi:10.3390/molecules27030664 · Cited by 15
Millan, G. C. L., Veras, F. F., Stincone, P., Pailliè-Jiménez, M. E., & Brandelli, A. (2022) · Biocatalysis and Agricultural Biotechnology · doi:10.1016/j.bcab.2022.102415 · Cited by 15
Iwaniak, A., Mogut, D., Mińkiewicz, P., Żulewska, J., & Darewicz, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-17641-x · Cited by 15
Self-citationLiu, C., Guo, Z., Yang, Y., Hu, B., Zhu, L., Li, M., Gu, Z., Xin, Y., Sun, H., Guan, Y., et al. (2022) · European Food Research and Technology · doi:10.1007/s00217-022-04111-x · Cited by 15
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Petit, N., Dyer, J. M., Gerrard, J. A., Domigan, L. J., & Clerens, S. (2023) · BBA Advances · doi:10.1016/j.bbadva.2023.100086 · Cited by 15
Mora-Melgem, J. A., Arámburo-Gálvez, J. G., Cárdenas-Torres, F. I., González-Santamaría, J., Ramírez-Torres, G. I., Arvizu-Flores, A. A., Figueroa-Salcido, O. G., & Ontiveros, N. (2023) · Pharmaceuticals · doi:10.3390/ph16081109 · Cited by 15
Mojica, L., Ramos-Lopez, A. S., Sánchez‐Velázquez, O. A., Gómez-Ojeda, A., & Luévano‐Contreras, C. (2023) · Journal of Functional Foods · doi:10.1016/j.jff.2023.105927 · Cited by 15
Du, C., Hui, Z., Li, N., Liu, K., Wang, Y., Wang, P., & Sun, S. (2024) · LWT · doi:10.1016/j.lwt.2024.115939 · Cited by 15
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Ashraf, Z. U., Gani, A., Shah, A. S., & Gani, A. (2024) · Food Bioscience · doi:10.1016/j.fbio.2024.104903 · Cited by 15
Liu, H., Zhang, X., Zhou, Z., Yang, C., Chen, J., & Liu, X. (2024) · Food Bioscience · doi:10.1016/j.fbio.2024.105634 · Cited by 15
Heres, A., Toldrá, F., & Mora, L. (2021) · Applied Sciences · doi:10.3390/app11178268 · Cited by 15
Zou, H., & Yin, Z. (2021) · International Journal of Peptide Research and Therapeutics · doi:10.1007/s10989-021-10280-2 · Cited by 15
Göksu, A. G., Çakır, B., & Gülseren, İ. (2022) · Waste and Biomass Valorization · doi:10.1007/s12649-022-01750-9 · Cited by 15
Pérez-Polo, S., Imran, M. A. S., Dios, S., Pérez‐Vázquez, J., Barros, L., Carrera, M., & Gestal, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087145 · Cited by 15
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Yang, D., Li, L., Li, C., Chen, S., Deng, J., & Yang, S. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.920945 · Cited by 14
Puspitojati, E., Cahyanto, M. N., Marsono, Y., & Indrati, R. (2023) · Food Technology and Biotechnology · doi:10.17113/ftb.61.01.23.7635 · Cited by 14
In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms
Lauritano, C., Montuori, E., Falco, G. D., & Carrella, S. (2023) · Antioxidants · doi:10.3390/antiox12030710 · Cited by 15
Bioactive Peptides in Meat and Meat Products
Toldrá, F., Reig, M., Gallego, M., & Mora, L. (2023) · Meat and Muscle Biology · doi:10.22175/mmb.16243 · Cited by 14
Cunha, M. F., Coscueta, E. R., Brassesco, M. E., Marques, R., Neto, J., Almada, F., Gonçalves, D., & Pintado, M. (2023) · Molecules · doi:10.3390/molecules28186458 · Cited by 14
Li, Z., Jin, J., He, W., Long, W., Yu, H., Gao, X., Nakai, K., Zou, Q., & Wei, L. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad352 · Cited by 14
Banić, M., Butorac, K., Čuljak, N., Butorac, A., Novak, J., Pavunc, A. L., Rušanac, A., Stanečić, Ž., Lovrić, M., Šušković, J., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25042431 · Cited by 15
Fan, X., Zhang, L., Sun, Y., Zhou, C., Xia, Q., Du, L., Wu, Z., & Pan, D. (2024) · Food Science and Human Wellness · doi:10.26599/fshw.2023.9250041 · Cited by 14
Zhou, F., Li, D., Hou, Y., Cong, Z., Li, K., Gu, X., & Xiao, G. (2024) · PLoS ONE · doi:10.1371/journal.pone.0298674 · Cited by 15
Longarela, N. R., Paredes-Ramos, M., & Vilariño, J. M. L. (2024) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2024.2367571 · Cited by 14
Metadata
- Authors
- Minkiewicz, P., Iwaniak, A., & Darewicz, M.
- Affiliations
- Chair of Food Biochemistry, University of Warmia and Mazury in Olsztyn, Plac Cieszyński 1, 10-726 Olsztyn-Kortowo, Poland
- University of Warmia and Mazury in Olsztyn (PL)
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2019-11-27
- Volume
- 20
- Issue
- 23
- Pages
- 5978
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC6928608
- OpenAlex
- W2989775272
- Cited by
- 958
- References
- 104
- Citations by year
- 2026: 161 · 2025: 189 · 2024: 156 · 2023: 160 · 2022: 135 · 2021: 103 · 2020: 53 · 2019: 1
- FWCI
- 24.15
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- The project was financially supported by the Minister of Science and Higher Education in the range of the program entitled “Regional Initiative of Excellence” for the years 2019–2022, amount of funding 12,000,000 PLN (010/RID/2018/19)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Protein Hydrolysis and Bioactive Peptides
- Physical Sciences › Chemistry › Organic Chemistry › Chemical Synthesis and Analysis
- Life Sciences › Immunology and Microbiology › Microbiology › Antimicrobial Peptides and Activities
- Keywords
- bioactive peptides, peptide database, food-derived peptides, chronic disease prevention, D-enantiomer, peptide annotation
- MeSH terms
- Amino Acid Sequence, Amino Acids, Animals, Humans, Peptide Hydrolases, Peptides, Databases, Factual
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