PubChem 2023 update

Gene Ontology: tool for the unification of biology

Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206

Database resources of the National Center for Biotechnology Information: update

Wheeler, D. L. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,695

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

UniProt: the universal protein knowledgebase in 2021

The UniProt Consortium, Bateman, A., Martin, M.-J., Orchard, S., Magrane, M., Agivetova, R., Ahmad, S., Alpi, E., Bowler-Barnett, E. H., Britto, R., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1100 · Cited by 6,372

Database resources of the National Center for Biotechnology Information

Agarwala, R., Barrett, T., Beck, J., Benson, D., Bollin, C., Bolton, E. E., Bourexis, D., Brister, J., Bryant, S. H., Canese, K., et al. (2017) · Nucleic Acids Res. · doi:10.1093/nar/gkx1095 · Cited by 6,277

PubChem Substance and Compound databases

Kim, S., Thiessen, P. A., Bolton, E. E., Chen, J., Fu, G., Gindulyte, A., Han, L., He, J., He, S., Shoemaker, B. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv951 · Cited by 5,436

PubChem in 2021: new data content and improved web interfaces

Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa971 · Cited by 3,953

The Gene Ontology resource: enriching a GOld mine

The Gene Ontology Consortium, Carbon, S., Douglass, E., Good, B. M., Unni, D. R., Harris, N. L., Mungall, C. J., Basu, S., Chisholm, R. L., Dodson, R. J., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1113 · Cited by 3,555

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

NCBI Taxonomy: a comprehensive update on curation, resources and tools

Schoch, C. L., Ciufo, S., Domrachev, M., Hotton, C. L., Kannan, S., Khovanskaya, R., Leipe, D., Mcveigh, R., O’Neill, K., Robbertse, B., et al. (2020) · Database · doi:10.1093/database/baaa062 · Cited by 2,635

Synthesis and Systematic Investigation of Lepidiline A and Its Gold(I), Silver(I), and Copper(I) Complexes Using In Vitro Cancer Models and Multipotent Stem Cells

Tóth, S., Szlávik, M. F., Mandel, R., Fekecs, F., Tusnády, G., Vajda, F., Varga, N., Apáti, Á., Bényei, A. C., Paczal, A., et al. (2024) · ACS Omega · doi:10.1021/acsomega.4c05020 · Cited by 10

Antiviral Activity of Cannabidiolic Acid and Its Methyl Ester against SARS-CoV-2

Tamburello, M., Salamone, S., Anceschi, L., Governa, P., Brighenti, V., Morellini, A., Rossini, G., Manetti, F., Gallinella, G., Pollastro, F., et al. (2023) · Journal of Natural Products · doi:10.1021/acs.jnatprod.3c00111 · Cited by 10

BioKA: a curated and integrated biomarker knowledgebase for animals

Wang, Y., Lin, Y., Wu, S., Sun, J., Meng, Y., Jin, E., Kong, D., Duan, G., Bei, S., Fan, Z., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad873 · Cited by 10

Exploring SureChEMBL from a drug discovery perspective

Gadiya, Y., Shetty, S., Hofmann‐Apitius, M., Gribbon, P. M., & Zaliani, A. (2024) · Scientific Data · doi:10.1038/s41597-024-03371-4 · Cited by 10

In silico antiviral properties of Spirulina platensis phycobiliprotein and phycobilin as natural inhibitor for SARS-CoV-2

Munawaroh, H. S. H., Gumilar, G. G., Pratiwi, R. N., Khoiriah, S. F., Ningrum, A., Martha, L., Chew, K. W., & Show, P.-L. (2024) · Algal Research · doi:10.1016/j.algal.2024.103468 · Cited by 9

Microbial production of the plant flavanone hesperetin from caffeic acid

Hanko, E. K. R., Correia, J., Souza, C. S., Green, A., Chromy, J., Stoney, R., Yan, C., Takano, E., Lousa, D., Soares, C. M., et al. (2023) · BMC Research Notes · doi:10.1186/s13104-023-06620-8 · Cited by 10

Yin-yang in drug discovery: rethinking de novo design and development of predictive models

Chávez‐Hernández, A. L., López‐López, E., & Medina‐Franco, J. L. (2023) · Frontiers in Drug Discovery · doi:10.3389/fddsv.2023.1222655 · Cited by 9

Interpretable Attribution Assignment for Octanol–Water Partition Coefficient

Yokogawa, D., & Suda, K. (2023) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.3c02740 · Cited by 8

Modified Curcuminoid-Rich Extract Liposomal CRE-SDInhibits Osteoclastogenesis via the Canonical NF-κB Signaling Pathway

Jantarawong, S., Swangphon, P., Lauterbach, N., Panichayupakaranant, P., & Pengjam, Y. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15092248 · Cited by 9

Revealing curcumin therapeutic targets on SRC, PPARG, MAPK8 and HSP90 as liver cirrhosis therapy based on comprehensive bioinformatic study

Siregar, K. A. A. K., Syaifie, P. H., Jauhar, M. M., Arda, A. G., Rochman, N. T., Kustiawan, P. M., & Mardliyati, E. (2024) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2023.2301534 · Cited by 15

Deep Learning-Based Chemical Similarity for Accelerated Organic Light-Emitting Diode Materials Discovery

Kim, H., Lee, K.-H., Kim, J. H., & Kim, W. Y. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c01747 · Cited by 9

Computational Studies on 6-Pyruvoyl Tetrahydropterin Synthase (6-PTPS) of Plasmodium falciparum

Chinedu, S. N., Bella-Omunagbe, M., Okafor, E., Afolabi, R., & Adebiyi, E. F. (2024) · Bioinformatics and Biology Insights · doi:10.1177/11779322241230214 · Cited by 9

Discovery of a novel flavonol O-methyltransferase possessing sequential 4′- and 7-O-methyltransferase activity from Camptotheca acuminata Decne

Pu, X., Zhang, J., He, J., Ai, Z., He, X., Zhou, X., Tong, S., Dai, X., Wu, Q., Hu, J., et al. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.131381 · Cited by 9

A rice GT61 glycosyltransferase possesses dual activities mediating 2-O-xylosyl and 2-O-arabinosyl substitutions of xylan

Zhong, R., Zhou, D., Phillips, D. R., Adams, E. R., Chen, L., Rose, J. P., Wang, B., & Ye, Z. (2024) · Planta · doi:10.1007/s00425-024-04396-0 · Cited by 9

Endometrial microbial dysbiosis and metabolic alteration promote the development of endometrial cancer

Han, X., Zheng, J., Zhang, L., Zhao, Z., Cheng, G., Zhang, W., & Qu, P. (2024) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.15718 · Cited by 9

scDrug+: predicting drug-responses using single-cell transcriptomics and molecular structure

Sun, Y.-Y., Hsieh, C.-Y., Wen, J.-H., Tseng, T.-Y., Huang, J., Oyang, Y.-J., Huang, H.-C., & Juan, H. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.117070 · Cited by 10

Network Pharmacology and Transcriptomics to Explore the Pharmacological Mechanisms of 20(S)-Protopanaxatriol in the Treatment of Depression

Guo, X., Su, L., Shi, M., Sun, L. M., Chen, W., Geng, J., Li, J., Zong, Y., He, Z., & Du, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25147574 · Cited by 9

Transcriptionally Conditional Recurrent Neural Network for De Novo Drug Design

Matsukiyo, Y., Tengeiji, A., Li, C., & Yamanishi, Y. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.4c00531 · Cited by 10

Uncovering the protective mechanism of baicalin in treatment of fatty liver based on network pharmacology and cell model of NAFLD

Wen, Y., Yi, F., Zhang, J., Wang, Y., Zhao, C., Zhao, B., & Wang, J. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.112954 · Cited by 9

Predicting repurposed drugs targeting the NS3 protease of dengue virus using machine learning-based QSAR, molecular docking, and molecular dynamics simulations

Chongjun, Y., Nasr, A. M. S., Latif, M. A. M., Rahman, M. B. A., Marlisah, E., & Tejo, B. A. (2024) · SAR and QSAR in environmental research · doi:10.1080/1062936x.2024.2392677 · Cited by 9

HGA Triggers SAA Aggregation and Accelerates Fibril Formation in the C20/A4 Alkaptonuria Cell Model

Mastroeni, P., Trezza, A., Geminiani, M., Frusciante, L., Visibelli, A., & Santucci, A. (2024) · Cells · doi:10.3390/cells13171501 · Cited by 9

Impact of Polymer End Groups on the Formation of Solid Electrolyte Interphase at the Lithium Metal Interface: A First-Principles Calculations Study

Zhour, K., Heuer, A., & Diddens, D. (2024) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.4c03261 · Cited by 9

Network pharmacology and bioinformatic integrative analysis reveals candidate gene targets and potential therapeutic of East Kalimantan propolis against hepatocellular carcinoma

Kustiawan, P. M., Siregar, K. A. A. K., Jauhar, M. M., Ramadhan, D., Mardliyati, E., & Syaifie, P. H. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e39142 · Cited by 9

Computational Screening of Novel Nitroimidazole Candidates: Targeting Key Enzymes of Oral Anaerobes for Anti-parasitic Potential

Lanez, T., Lanez, M., Lanez, R., Lanez, E., & Talbi-Lanez, B. (2024) · Current Drug Discovery Technologies · doi:10.2174/0115701638326365241029080310 · Cited by 9

Exploring the therapeutic potential of bioactive compounds from selected plant extracts of Mediterranean diet constituents for cardiovascular diseases: A review of mechanisms of action, clinical evidence, and adverse effects

Anguera-Tejedor, M., Garrido, G., Garrido‐Suárez, B. B., Ardiles, A., Bistué‐Rovira, À., Jiménez‐Altayó, F., & Delgado, R. (2024) · Food Bioscience · doi:10.1016/j.fbio.2024.105487 · Cited by 10

Adsorption of Hexoses on the Ti2CO2 MXene

Gouveia, J. D., & Gomes, J. R. B. (2024) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.4c04821 · Cited by 9

Validating anti-inflammatory and cytotoxic properties of Fagonia cretica L. through metabolic, in vitro, and in silico profiling

Mohamed, E. I. A., Elwekeel, A. H., Amir, D. E., Zaki, M. A., & Hassan, M. H. A. (2024) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-024-04684-y · Cited by 9

Transforming drug discovery: the impact of AI and molecular simulation on R&D efficiency

Iwata, H. (2024) · Bioanalysis · doi:10.1080/17576180.2024.2437283 · Cited by 9

Novel Antiviral Phytochemicals Against Dengue Virus 2 NS2B‐NS3 Protease: An In Silico Drug Development Approach

Bari, M. A., Ahmed, S., Perveen, F. F., Akter, M., Ahmed, N., Hossain, J., Nasrulla, M., Akter, K., & Islam, M. N. (2024) · ChemistrySelect · doi:10.1002/slct.202404053 · Cited by 9

β‐Caryophyllene attenuates oxidative stress and inflammatory response in LPS induced acute lung injury by targeting ACE2/MasR and Nrf2/HO-1/NF-κB axis

Niri, P., Saha, A., Polopalli, S., Kumar, M., Das, S., Saha, B., Goyary, D., Bhutia, Y. D., Karmakar, S., Kishor, S., et al. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.151286 · Cited by 9

Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methods

Xiao, M., Zheng, Q., Popa, P., Mi, X., Hu, J., Zou, F., & Zou, B. (2025) · Scientific Reports · doi:10.1038/s41598-024-84711-7 · Cited by 10

In vitro and In silico investigation deciphering novel antifungal activity of endophyte Bacillus velezensis CBMB205 against Fusarium oxysporum

Vibha, R., Granada, D. L., Skariyachan, S., Ujwal, P., & Sandesh, K. (2025) · Scientific Reports · doi:10.1038/s41598-024-77926-1 · Cited by 9

Identification of Two Flavonoids as New and Safe Inhibitors of Kynurenine Aminotransferase II via Computational and In Vitro Study

Rebai, R., Jasmin, L., & Boudah, A. (2025) · Pharmaceuticals · doi:10.3390/ph18010076 · Cited by 9

The hidden palette: Uncovering key substances driving color variation in sesame-flavor Baijiu

Zhou, H., Zhang, H., Zhang, L., Wang, R., Sun, Z., Chen, A. J., Ye, X., Guo, J., & Li, X. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2025.142927 · Cited by 9

Discovery of novel PARP1 inhibitors through computational drug design approaches

Shamim, M., Ali, M. S., Hossain, M. A., Hossain, M. A., Kavey, M. R. H., Hoque, M. M., Rahman, M. A., Harrath, A. H., & Rahman, M. H. (2025) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2025.108366 · Cited by 9

Targeting the G-quadruplex as a novel strategy for developing antibiotics against hypervirulent drug-resistant Staphylococcus aureus

Sultan, M., Razzaq, M., Lee, J., Das, S., Kannappan, S., Subramani, V. K., Yoo, W., Kim, T., Lee, H.-R., Chaurasia, A., et al. (2025) · Journal of Biomedical Sciences · doi:10.1186/s12929-024-01109-3 · Cited by 8

Comparison of Major Compounds in Essential Oils Steam Distilled from Fresh Plant Material of South African Hop Varieties

de Smidt, O., du Plessis, W., Zacharia, P. R., & Manduna, I. T. (2025) · Life · doi:10.3390/life15020282 · Cited by 9

Efficient Synthesis of Vitamin B5 in Escherichia coli by Engineering Ketopantoate Hydroxymethyltransferase and Cofactor Supply

Qiu, K., Song, F., Wang, K., Zhang, H., Yin, X., Qin, Z., Zhou, J., & Xu, S. (2025) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.4c10027 · Cited by 9

Toxicokinetics for organ-on-chip devices

Hermann, N. G., Ficek, R. A., Markov, D. A., McCawley, L. J., & Hutson, M. S. (2025) · Lab on a Chip · doi:10.1039/d4lc00840e · Cited by 9

Molecular Descriptor for Catalytic Direct Oxidative Transfer Process Based on Thermodynamic State Changes during Reactions

Wang, Z., Huang, G., Zhang, Y.-J., Hua, T.-W., Chen, J., & Yu, H. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.4c13406 · Cited by 9

Unveiling the Potential Role of Hesperetin and Emodin as a Combination Therapy to Inhibit the Pancreatic Cancer Progression against the C-Met Gene

Rangaraj, K., Vasudevan, M. T., Sreelakshmi, P. S., Muthusami, S., Arulselvan, P., & Bharathi, M. (2025) · Protein and Peptide Letters · doi:10.2174/0109298665363165250225100109 · Cited by 9

Mechanistic insights into the P-coumaric acid protection against bisphenol A-induced hepatotoxicity in in vivo and in silico models

Tekin, S., Bolat, M., Atasever, A., Bolat, İ., Çınar, B., Shadidizaji, A., Dağ, Y., Şengül, E., Yıldırım, S., Hacımüftüoğlu, A., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-87099-0 · Cited by 9

Atomistic Modeling of Cross-Linking in Epoxy-Amine Resins: An Open-Source Protocol

Provenzano, M., Bellussi, F. M., Fasano, M., & Thielemann, H. C. (2025) · ACS Applied Polymer Materials · doi:10.1021/acsapm.4c04208 · Cited by 9

InertDB as a generative AI-expanded resource of biologically inactive small molecules from PubChem

An, S., Lee, Y., Gong, J., Hwang, S., Park, I. G., Cho, J., Lee, M. J., Kim, M., Kang, Y. P., & Noh, M. (2025) · Journal of Cheminformatics · doi:10.1186/s13321-025-00999-1 · Cited by 9

PEBL, a component-based Chinese medicine, reduces virus-induced acute lung injury by targeting FXR to decrease ACE2 levels

Yang, L., Zhou, X., Liu, J., Yang, G., Tan, W., Ding, H., Fang, X., Yu, J., Li, W., He, J., et al. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.05.003 · Cited by 10

Integrative in silico and in vivo Drosophila model studies reveal the anti-inflammatory, antioxidant, and anticancer properties of red radish microgreen extract

Tallei, T. E., Kapantow, N. H., Niode, N. J., Hessel, S. S., Savitri, M., Fatimawali, F., Kang, S., Park, M. N., Raihan, M., Hardiyanti, W., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-02999-5 · Cited by 13

Computer-aided unveiling molecular mechanisms of Xylocarpus granatum against colorectal cancer: therapeutic intervention targeting P13K-AKT signaling pathway

Ahamed, M. S., & Ashik, S. A. A. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110441 · Cited by 11

Accelerated discovery of high-performance MOFs for water adsorption chillers through molecular simulation and machine learning

Liu, Z., Shen, D., Chung, Y. G., Li, W., & Li, S. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.164419 · Cited by 10

Advancing active compound discovery for novel drug targets: insights from AI-driven approaches

Wang, X.-Y., Chen, Y., Li, Y.-F., Wei, C., Liu, M.-Y., Yuan, C.-X., Zheng, Y.-Y., Qin, M.-H., Sheng, Y.-F., Tong, X., et al. (2025) · Acta Pharmacologica Sinica · doi:10.1038/s41401-025-01591-x · Cited by 12

Machine learning for predicting drug–drug interactions: Graph neural networks and beyond

Petschner, P., Nguyen, A. D., Nguyen, C. H., & Mamitsuka, H. (2025) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2025.100551 · Cited by 9

Distinct Interactions of Cannabinol and Its Cytochrome P450-Generated Metabolites with Receptors and Sensory Neurons

Kundu, D., Franchini, L., Hasdemir, H. S., Lloyd, E., Maturano, J., Rábl, K., Denissiouk, A. N., Schumacher, M. A., Šarlah, D., Hellman, J., et al. (2025) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5c00938 · Cited by 9

Gypensapogenin I alleviates PANoptosis, ferroptosis, and oxidative stress in myocardial ischemic–reperfusion injury by targeting the NOX2/AMPK pathway

Chen, Y., Guan, B., Lu, J., Yan, X., Huang, C., Qiu, Y., Li, X., Sun, X., Chen, L., Li, W., et al. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1623846 · Cited by 9

Chemical Space Exploration with Artificial “Mindless” Molecules

Gasevic, T., Müller, M., Schöps, J., Lanius, S., Hermann, J., Grimme, S., & Hansen, A. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5c01364 · Cited by 9

Multiscale-Information-Embedded Universal Toxicity Prediction Framework

Wu, L., Wang, F., Zhang, Y., Li, R., Zhao, Y., Xu, H., Gao, Z., He, S., & Bo, X. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c04614 · Cited by 10

UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels

Silberg, J., Swanson, K., Simon, E. P., Zhang, A., Ghazizadeh, Z., Ogden, S., Hamadeh, H. K., & Zou, J. (2024) · neural information processing systems · doi:10.52202/079017-0385 · Cited by 9

Multi-modal contrastive learning for chemical structure elucidation with VibraCLIP

Rocabert-Oriols, P., Conte, C. L., López, N., & Heras‐Domingo, J. (2025) · Digital Discovery · doi:10.1039/d5dd00269a · Cited by 9

Hesperetin reduces neuronal death in an SHSY5Y Alzheimer’s model by inhibiting inflammation and apoptosis and pyroptosis cell death pathways

Shafiee, L., Pishva, M. S., Hosseinzadegsn, R., Bahadori, Z., Baziyar, P., Mehboodi, M., Khademee, S., Akbari, M., Motamed, M., & Nadimi, E. (2025) · Scientific Reports · doi:10.1038/s41598-025-25777-9 · Cited by 9

Comprehensive evaluation of the anti-inflammatory potential of Cucurbita maxima leaf extract: LC–MS phytochemical profiling coupled with in vitro, in vivo, and in silico approaches

Maroua, H., Benamor, M. L., Bekkar, Y., Nacer, S. N., Lanez, E., Boudebia, O., Chaoua, H., Adaika, A., Bechki, L., Lanez, T., et al. (2026) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2026.121267 · Cited by 9

Advancement in Metabolomics Research via Tools, Databases, and Packages: A Cancer Perspective

Mishra, S. K., Hamadou, M., Rai, P., Mukhia, P., Gurung, K., Chhetri, T., & Georrge, J. J. (2026) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-026-10517-7 · Cited by 11

Structural and dynamics insights into the GBA variants associated with Parkinson’s disease

Mahmood, A., Samad, A., Bano, S., Umair, M., Ajmal, A., Ilyas, I., Shah, A. A., Li, P., & Hu, J. (2023) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2023.2233617 · Cited by 9

Promiscuity in drug discovery on the verge of the structural revolution: recent advances and future chances

Bolz, S. N., & Schroeder, M. (2023) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2023.2239700 · Cited by 9

Unveiling the synthesis patterns of nanomaterials: a text mining and meta-analysis approach with ZIF-8 as a case study

Manning, J. R. H., & Sarkisov, L. (2023) · Digital Discovery · doi:10.1039/d3dd00099k · Cited by 10

Assessment of the anti‐inflammatory mechanism of quercetin 3,7‐dirhamnoside using an integrated pharmacology strategy

He, X., Sun, Y., Lu, X., Yang, F., Li, T., Deng, C., Song, J., & Huang, X. (2023) · Chemical Biology & Drug Design · doi:10.1111/cbdd.14346 · Cited by 9

In Silico identification of novel phytochemicals that target SFRP4: An early biomarker of diabesity

Rehman, A., Bukhari, S. A., Akhter, N., Hussain, M. A. I., & Chauhdary, Z. (2023) · PLoS ONE · doi:10.1371/journal.pone.0292155 · Cited by 9

Integrating Transcriptomic and Structural Insights: Revealing Drug Repurposing Opportunities for Sporadic ALS

Sunildutt, N., Ahmed, F., Salih, A. R. C., Lim, J., & Choi, K. H. (2024) · ACS Omega · doi:10.1021/acsomega.3c07296 · Cited by 10

UHPLC‐ESI‐QTOF‐MS metabolite profiles of different extracts from Pelargonium endlicherianum parts and their biological properties based on network pharmacological approaches

Zengin, G., Leyva‐Jiménez, F. J., Fernández‐Ochoa, Á., Bouyahya, A., Yıldıztugay, E., Segura‐Carretero, A., Mahomoodally, M. F., Ponniya, S. K. M., Nilofar, N., Koyuncu, İ., et al. (2024) · Archiv der Pharmazie · doi:10.1002/ardp.202300728 · Cited by 10

Chemotherapeutic potential of betanin/capecitabine combination targeting colon cancer: experimental and bioinformatic studies exploring NFκB and cyclin D1 interplay

Ahmed, R., Zaitone, S. A., Abdelmaogood, A. K. K., Atef, H. M., Soliman, M. F. M., Badawy, A. M., Ali, H. S., Zaid, A., Mokhtar, H. I., Elabbasy, L. M., et al. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1362739 · Cited by 10

Open-source Python module to automate GC-MS data analysis developed in the context of bio-oil analyses

Pecchi, M., & Goldfarb, J. L. (2024) · RSC Sustainability · doi:10.1039/d3su00345k · Cited by 9

Cordycepin enhances anti-tumor immunity in breast cancer by enhanceing ALB expression

Chen, L., Wei, W., Sun, J., Sun, B., & Deng, R. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29903 · Cited by 9

Gibberellic acid targeting ZBTB16 reduces NF-κB dependent inflammatory stress in sepsis-induced neuroinflammation

Xu, H., Lin, Y., Yu, J., Zhang, N., Hu, J., Qu, J., Yuan, C.-M., Chen, D., Liang, M., Cai, H.-D., et al. (2024) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2024.176665 · Cited by 9

Unraveling the potential effects of non-synonymous single nucleotide polymorphisms (nsSNPs) on the Protein structure and function of the human SLC30A8 gene on type 2 diabetes and colorectal cancer: An In silico approach

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