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Cited by in F6Publishing
For: Kumar V, Parate S, Thakur G, Lee G, Ro HS, Kim Y, Kim HJ, Kim MO, Lee KW. Identification of CDK7 Inhibitors from Natural Sources Using Pharmacoinformatics and Molecular Dynamics Simulations. Biomedicines 2021;9:1197. [PMID: 34572383 DOI: 10.3390/biomedicines9091197] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Kumar V, Kumar R, Parate S, Danishuddin, Lee G, Kwon M, Jeong S, Ro H, Lee KW, Kim S. Identification of Activated Cdc42-Associated Kinase Inhibitors as Potential Anticancer Agents Using Pharmacoinformatic Approaches. Biomolecules 2023;13:217. [DOI: 10.3390/biom13020217] [Reference Citation Analysis]
2 Das AP, Agarwal SM. Recent advances in the area of plant-based anti-cancer drug discovery using computational approaches. Mol Divers 2023;:1-25. [PMID: 36670282 DOI: 10.1007/s11030-022-10590-7] [Reference Citation Analysis]
3 Bhurta D, Bharate SB. Discovery of Pongol, the Furanoflavonoid, as an Inhibitor of CDK7/Cyclin H/MAT1 and Its Preliminary Structure-Activity Relationship. ACS Omega 2023;8:1291-300. [PMID: 36643464 DOI: 10.1021/acsomega.2c06733] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Singh P, Kumar V, Lee G, Jung TS, Ha MW, Hong JC, Lee KW. Pharmacophore-Oriented Identification of Potential Leads as CCR5 Inhibitors to Block HIV Cellular Entry. Int J Mol Sci 2022;23. [PMID: 36555761 DOI: 10.3390/ijms232416122] [Reference Citation Analysis]
5 Hussain A, Hussain A, Sabnam N, Kumar Verma C, Shrivastava N. Insilico exploration of the potential inhibitory activity of DrugBank compounds against CDK7 kinase using structure-based virtual screening, molecular docking, and dynamics simulation approach. Arabian Journal of Chemistry 2022. [DOI: 10.1016/j.arabjc.2022.104460] [Reference Citation Analysis]
6 Kumar V, Parate S, Danishuddin, Zeb A, Singh P, Lee G, Jung TS, Lee KW, Ha MW. 3D-QSAR-Based Pharmacophore Modeling, Virtual Screening, and Molecular Dynamics Simulations for the Identification of Spleen Tyrosine Kinase Inhibitors. Front Cell Infect Microbiol 2022;12:909111. [DOI: 10.3389/fcimb.2022.909111] [Reference Citation Analysis]