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Cited by in F6Publishing
For: Ancuceanu R, Tamba B, Stoicescu CS, Dinu M. Use of QSAR Global Models and Molecular Docking for Developing New Inhibitors of c-src Tyrosine Kinase. Int J Mol Sci 2019;21:E19. [PMID: 31861445 DOI: 10.3390/ijms21010019] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
1 Ahmadi S, Lotfi S, Afshari S, Kumar P, Ghasemi E. CORAL: Monte Carlo based global QSAR modelling of Bruton tyrosine kinase inhibitors using hybrid descriptors. SAR QSAR Environ Res 2021;32:1013-31. [PMID: 34875951 DOI: 10.1080/1062936X.2021.2003429] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
2 Warsito W, Murlistyarini S, Suratmo S, Azzahra VO, Sucahyo A. Molecular Docking Compounds of Cinnamaldehyde Derivatives as Anticancer Agents. Asian Pac J Cancer Prev 2021;22:2409-19. [PMID: 34452553 DOI: 10.31557/APJCP.2021.22.8.2409] [Reference Citation Analysis]
3 Negi P, Cheke RS, Patil VM. Recent advances in pharmacological diversification of Src family kinase inhibitors. Egypt J Med Hum Genet 2021;22. [DOI: 10.1186/s43042-021-00172-x] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Bolz SN, Adasme MF, Schroeder M. Toward an Understanding of Pan-Assay Interference Compounds and Promiscuity: A Structural Perspective on Binding Modes. J Chem Inf Model 2021;61:2248-62. [PMID: 33899463 DOI: 10.1021/acs.jcim.0c01227] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
5 Ibrahim ZY, Uzairu A, Shallangwa G, Abechi S. In-silico Design of Aryl and Aralkyl Amine-Based Triazolopyrimidine Derivatives with Enhanced Activity Against Resistant Plasmodium falciparum. Chemistry Africa 2021;4:137-48. [DOI: 10.1007/s42250-020-00199-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
6 Hdoufane I, Bjij I, Oubahmane M, Soliman MES, Villemin D, Cherqaoui D. In silico design and analysis of NS4B inhibitors against hepatitis C virus. J Biomol Struct Dyn 2020;:1-15. [PMID: 33118481 DOI: 10.1080/07391102.2020.1839561] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Ancuceanu R, Hovanet MV, Anghel AI, Furtunescu F, Neagu M, Constantin C, Dinu M. Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset. Int J Mol Sci 2020;21:E2114. [PMID: 32204453 DOI: 10.3390/ijms21062114] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]