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Cited by in F6Publishing
For: Mak KK, Balijepalli MK, Pichika MR. Success stories of AI in drug discovery - where do things stand? Expert Opin Drug Discov 2021;:1-14. [PMID: 34553659 DOI: 10.1080/17460441.2022.1985108] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Volkamer A, Riniker S, Nittinger E, Lanini J, Grisoni F, Evertsson E, Rodríguez-pérez R, Schneider N. Machine Learning for Small Molecule Drug Discovery in Academia and Industry. Artificial Intelligence in the Life Sciences 2023. [DOI: 10.1016/j.ailsci.2022.100056] [Reference Citation Analysis]
2 van der Lee M, Swen JJ. Artificial intelligence in pharmacology research and practice. Clin Transl Sci 2023;16:31-6. [PMID: 36181380 DOI: 10.1111/cts.13431] [Reference Citation Analysis]
3 Cantrell JM, Chung CH, Chandrasekaran S. Machine learning to design antimicrobial combination therapies: promises and pitfalls. Drug Discovery Today 2022. [DOI: 10.1016/j.drudis.2022.04.006] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 V Kalayil N, D’souza SS, Khan SY, Paul P. ARTIFICIAL INTELLIGENCE IN PHARMACY DRUG DESIGN. Asian J Pharm Clin Res 2022. [DOI: 10.22159/ajpcr.2022.v15i4.43890] [Reference Citation Analysis]
5 Mak KK, Epemolu O, Pichika MR. The role of DMPK science in improving pharmaceutical research and development efficiency. Drug Discov Today 2021:S1359-6446(21)00484-0. [PMID: 34774767 DOI: 10.1016/j.drudis.2021.11.005] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]