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For: Choudhury C, Narahari Sastry G. Pharmacophore Modelling and Screening: Concepts, Recent Developments and Applications in Rational Drug Design. Challenges and Advances in Computational Chemistry and Physics 2019. [DOI: 10.1007/978-3-030-05282-9_2] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.8] [Reference Citation Analysis]
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2 Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022;122:11287-368. [PMID: 35594413 DOI: 10.1021/acs.chemrev.1c00965] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 13.0] [Reference Citation Analysis]
3 Kumar V, Roy K. Computational Modeling of Chloroquine Analogues for Development of Drugs Against Novel Coronavirus (nCoV). Methods in Pharmacology and Toxicology 2021. [DOI: 10.1007/7653_2020_55] [Reference Citation Analysis]
4 Kumar V, Roy K. Computational Modeling of RdRp Inhibitors for the Development of Drugs against Novel Coronavirus (nCoV). Methods in Pharmacology and Toxicology 2021. [DOI: 10.1007/7653_2020_51] [Reference Citation Analysis]
5 De P, Roy K. Computational Modeling of ACE2-Mediated Cell Entry Inhibitors for the Development of Drugs Against Coronaviruses. Methods in Pharmacology and Toxicology 2021. [DOI: 10.1007/7653_2020_49] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
6 Radaeva M, Dong X, Cherkasov A. The Use of Methods of Computer-Aided Drug Discovery in the Development of Topoisomerase II Inhibitors: Applications and Future Directions. J Chem Inf Model 2020;60:3703-21. [DOI: 10.1021/acs.jcim.0c00325] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
7 Mashayekh K, Sharifi S, Damghani T, Elyasi M, Avestan MS, Pirhadi S. Clustering and Sampling of the c-Met Conformational Space: A Computational Drug Discovery Study. Comb Chem High Throughput Screen 2019;22:635-48. [PMID: 31696808 DOI: 10.2174/1386207322666191024103902] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]