Journal of Integrative Natural Science (통합자연과학논문집)
- Volume 4 Issue 3
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- Pages.197-201
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- 2011
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- 3022-8883(pISSN)
DOI QR Code
Toward Proper 3D-QSAR Datasets for Parameter Evaluation
- Cho, Seung Joo (Departments of Bio-New Drug Development, College of Medicine, Chosun University)
- Received : 2011.07.02
- Accepted : 2011.08.31
- Published : 2011.09.30
Abstract
3D-QSAR techniques including CoMFA have been used a lot for more than two decades now. For now, the perspective of 3D-QSAR has been changed. The realization of gorge activity cliffs and higher chance correlation with many independent variables (IVs) has changed the requirements. Some suggested the benchmarking datasets for 3D-QSAR. However, were they still useful for right reasons? Here, we propose the requirement of any general purpose 3D-QSAR benchmarking datasets for lead optimization, especially for feasibility test of any IVs. Specifically, we summarize the conceptual requirements for an ideal settings for 3D-QSAR especially CoMFA.