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For: Li B, Hu L, Xue Y, Yang M, Huang L, Zhang Z, Liu J, Deng G. Prediction of matrix metal proteinases-12 inhibitors by machine learning approaches. J Biomol Struct Dyn 2018;37:2627-2640. [DOI: 10.1080/07391102.2018.1492460] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Number Cited by Other Article(s)
1
Amor M, Bianco V, Buerger M, Lechleitner M, Vujić N, Dobrijević A, Akhmetshina A, Pirchheim A, Schwarz B, Pessentheiner AR, Baumgartner F, Rampitsch K, Schauer S, Klobučar I, Degoricija V, Pregartner G, Kummer D, Svecla M, Sommer G, Kolb D, Holzapfel GA, Hoefler G, Frank S, Norata GD, Kratky D. Genetic deletion of MMP12 ameliorates cardiometabolic disease by improving insulin sensitivity, systemic inflammation, and atherosclerotic features in mice. Cardiovasc Diabetol 2023;22:327. [PMID: 38017481 PMCID: PMC10685620 DOI: 10.1186/s12933-023-02064-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/13/2023] [Indexed: 11/30/2023]  Open
2
Tamang JSD, Banerjee S, Baidya SK, Ghosh B, Adhikari N, Jha T. Employing comparative QSAR techniques for the recognition of dibenzofuran and dibenzothiophene derivatives toward MMP-12 inhibition. J Biomol Struct Dyn 2023:1-17. [PMID: 37498149 DOI: 10.1080/07391102.2023.2239923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 07/17/2023] [Indexed: 07/28/2023]
3
Baidya SK, Banerjee S, Adhikari N, Jha T. Selective Inhibitors of Medium-Size S1' Pocket Matrix Metalloproteinases: A Stepping Stone of Future Drug Discovery. J Med Chem 2022;65:10709-10754. [PMID: 35969157 DOI: 10.1021/acs.jmedchem.1c01855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
4
Yu Y, Wang R, Teo RD. Machine Learning Approaches for Metalloproteins. MOLECULES (BASEL, SWITZERLAND) 2022;27:molecules27041277. [PMID: 35209064 PMCID: PMC8878495 DOI: 10.3390/molecules27041277] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 02/10/2022] [Accepted: 02/11/2022] [Indexed: 01/10/2023]
5
Pande A, Manchanda M, Bhat HR, Bairy PS, Kumar N, Gahtori P. Molecular insights into a mechanism of resveratrol action using hybrid computational docking/CoMFA and machine learning approach. J Biomol Struct Dyn 2021;40:8286-8300. [PMID: 33829956 DOI: 10.1080/07391102.2021.1910572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
6
Zhang C, Wu K, Huang L, Sun K, Zou Y, Xiong Z, Li B. Virtual Screening and Discovery of Matrix Metalloproteinase‐12 Inhibitors by Swarm Intelligence Optimization Algorithm‐Based Machine Learning. ChemistrySelect 2020. [DOI: 10.1002/slct.202001275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
7
Satish Kumar K, Velayutham R, Roy KK. A systematic computational analysis of human matrix metalloproteinase 13 (MMP-13) crystal structures and structure-based identification of prospective drug candidates as MMP-13 inhibitors repurposable for osteoarthritis. J Biomol Struct Dyn 2019;38:3074-3086. [PMID: 31378153 DOI: 10.1080/07391102.2019.1651221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
8
Machine Learning Models Combined with Virtual Screening and Molecular Docking to Predict Human Topoisomerase I Inhibitors. Molecules 2019;24:molecules24112107. [PMID: 31167344 PMCID: PMC6601036 DOI: 10.3390/molecules24112107] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 05/20/2019] [Accepted: 05/28/2019] [Indexed: 12/15/2022]  Open
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