| Literature DB >> 16180898 |
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