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Superstructure searching algorithm for generic reaction retrieval

delete2005-07-15
delete9
PRE
AI
Q
Qian Zhu
Y
Yao
Y
Yuan
F
Feng Li
C
Chen, HF
W
Wei Cai
DOI:10.1021/ci0496402delete
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Abstract

Abstract

En 中文
Chemical reaction knowledge is usually summarized and retrieved by chemists from references, journals, and reaction databases. To rigorously extract chemical reaction knowledge from large data sets, computer algorithms become much more important. This paper presents a new approach, superstructure searching (SSS) algorithm, for generic reaction retrieval. The algorithm considers all known reaction patterns from the targeted structure and assigns synthetic routes for new chemical compounds. This algorithm consists of screening, atom-by-atom comparison, and computation of R-groups' similarity.
Keywords:
REACTION KNOWLEDGE

Journal

Journal of Chemical Information and Modeling cover
Journal of Chemical Information and Modeling
IF:
5.3
Papers:
9.2K
Citations:
4.0W

Organization

No organization information available
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