Literature DB >> 16180898

Superstructure searching algorithm for generic reaction retrieval.

Qian Zhu1, Jianhua Yao, Shengang Yuan, Feng Li, Haifeng Chen, Wei Cai, Quan Liao.   

Abstract

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.

Year:  2005        PMID: 16180898     DOI: 10.1021/ci0496402

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  1 in total

1.  Identification of target-specific bioisosteric fragments from ligand-protein crystallographic data.

Authors:  Elizabeth A Kennewell; Peter Willett; Pierre Ducrot; Claude Luttmann
Journal:  J Comput Aided Mol Des       Date:  2006-10-13       Impact factor: 3.686

  1 in total

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