OOMMPPAA: A Tool To Aid Directed Synthesis by the Combined Analysis of Activity and Structural Data
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- 作者：Anthony R. Bradley ; Ian D. Wall ; Darren V. S. Green ; Charlotte M. Deane ; Brian D. Marsden
- 刊名：Journal of Chemical Information and Modeling
- 出版年：2014
- 出版时间：October 27, 2014
- 年：2014
- 卷：54
- 期：10
- 页码：2636-2646
- 全文大小：572K
- ISSN：1549-960X
文摘
There is an ever increasing resource in terms of both structural information and activity data for many protein targets. In this paper we describe OOMMPPAA, a novel computational tool designed to inform compound design by combining such data. OOMMPPAA uses 3D matched molecular pairs to generate 3D ligand conformations. It then identifies pharmacophoric transformations between pairs of compounds and associates them with their relevant activity changes. OOMMPPAA presents this data in an interactive application providing the user with a visual summary of important interaction regions in the context of the binding site. We present validation of the tool using openly available data for CDK2 and a GlaxoSmithKline data set for a SAM-dependent methyl-transferase. We demonstrate OOMMPPAA鈥檚 application in optimizing both potency and cell permeability and use OOMMPPAA to highlight nuanced and cross-series SAR. OOMMPPAA is freely available to download at http://oommppaa.sgc.ox.ac.uk/OOMMPPAA/.