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Cited by in F6Publishing
For: Roy H, Nandi S. In-Silico Modeling in Drug Metabolism and Interaction: Current Strategies of Lead Discovery. Curr Pharm Des 2019;25:3292-305. [PMID: 31481001 DOI: 10.2174/1381612825666190903155935] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Nandi S, Roy H. Current Pharmaceutical Innovations and Implementation of In-silico Models with Designs of Promising Lead Molecules and Formulations. Curr Pharm Des 2019;25:3289-91. [PMID: 31752651 DOI: 10.2174/138161282531191104151954] [Reference Citation Analysis]
2 Rep V, Piškor M, Šimek H, Mišetić P, Grbčić P, Padovan J, Gabelica Marković V, Jadreško D, Pavelić K, Kraljević Pavelić S, Raić-Malić S. Purine and Purine Isostere Derivatives of Ferrocene: An Evaluation of ADME, Antitumor and Electrochemical Properties. Molecules 2020;25:E1570. [PMID: 32235404 DOI: 10.3390/molecules25071570] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
3 Unnikrishnan AG. Artificial Intelligence in Health Care: Focus on Diabetes Management. Indian J Endocrinol Metab 2019;23:503-6. [PMID: 31803588 DOI: 10.4103/ijem.IJEM_549_19] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]