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For: Parate S, Kumar V, Chan Hong J, Lee KW. Investigating natural compounds against oncogenic RET tyrosine kinase using pharmacoinformatic approaches for cancer therapeutics. RSC Adv 2021;12:1194-207. [DOI: 10.1039/d1ra07328a] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Sun L, Wang Z, Yang Z, Liu X, Dong H. Virtual screening and structure-activity relationship study of novel BTK inhibitors in Traditional Chinese Medicine for the treatment of rheumatoid arthritis. J Biomol Struct Dyn 2023;:1-15. [PMID: 36914235 DOI: 10.1080/07391102.2023.2188418] [Reference Citation Analysis]
2 Kumar V, Kumar R, Parate S, Danishuddin, Lee G, Kwon M, Jeong SH, Ro HS, Lee KW, Kim SW. Identification of Activated Cdc42-Associated Kinase Inhibitors as Potential Anticancer Agents Using Pharmacoinformatic Approaches. Biomolecules 2023;13. [PMID: 36830587 DOI: 10.3390/biom13020217] [Reference Citation Analysis]
3 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]
4 Li Y, Luo Z, Wang X, Zhang S, Hei H, Qin J. Design of new drugs for medullary thyroid carcinoma. Front Oncol 2022;12:993725. [PMID: 36544713 DOI: 10.3389/fonc.2022.993725] [Reference Citation Analysis]
5 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]