Chemistry space metrics in diversity analysis, library design, and compound selection

被引:49
作者
Menard, PR [1 ]
Mason, JS [1 ]
Morize, I [1 ]
Bauerschmidt, S [1 ]
机构
[1] Rhone Poulenc Rorer, Comp Assisted Drug Design, Collegeville, PA 19426 USA
来源
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 1998年 / 38卷 / 06期
关键词
D O I
10.1021/ci9801062
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
DiverseSolutions software was used to generate a "universal" chemistry space that can be used as a standard for profiling most structural sets of interest. A nonlinear method for assigning structures to bins within chemistry space descriptors was developed; This allows the use of chemistry spades scaled to include all structures within a set, while maintaining a reasonable distribution of structures within bins and providing target percentage cell occupancies. The universal chemistry space and nonlinear binning method were validated using random structures extracted from the Beilstein database. The approach was then used, in conjunction with other diversity analyses, for diverse subset selection and comparison of compound collections.
引用
收藏
页码:1204 / 1213
页数:10
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