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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]
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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]
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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]
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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]
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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]
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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]
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