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For: Zhou W, Dai Z, Chen Y, Yuan Z. Computational QSAR models with high-dimensional descriptor selection improve antitumor activity design of ARC-111 analogues. Med Chem Res 2013;22:278-86. [DOI: 10.1007/s00044-012-0034-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Number Cited by Other Article(s)
1
Zhou W, Fan Y, Cai X, Xiang Y, Jiang P, Dai Z, Chen Y, Tan S, Yuan Z. High-accuracy QSAR models of narcosis toxicities of phenols based on various data partition, descriptor selection and modelling methods. RSC Adv 2016. [DOI: 10.1039/c6ra21076g] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]  Open
2
Lang KL, Silva IT, Machado VR, Zimmermann LA, Caro MS, Simões CM, Schenkel EP, Durán FJ, Bernardes LS, de Melo EB. Multivariate SAR and QSAR of cucurbitacin derivatives as cytotoxic compounds in a human lung adenocarcinoma cell line. J Mol Graph Model 2014;48:70-9. [DOI: 10.1016/j.jmgm.2013.12.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Revised: 11/18/2013] [Accepted: 12/03/2013] [Indexed: 01/11/2023]
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