Maximum common subgraph isomorphism algorithms for the matching of chemical structures

被引:285
作者
Raymond, JW
Willett, P
机构
[1] Pfizer Global Res & Dev, Ann Arbor Labs, Ann Arbor, MI 48105 USA
[2] Univ Sheffield, Dept Informat Studies, Sheffield S10 2TN, S Yorkshire, England
[3] Univ Sheffield, Krebs Inst Biomolec Res, Sheffield S10 2TN, S Yorkshire, England
关键词
algorithm; graph matching; graph similarity; isomorphism algorithm; maximum common subgraph; maximum common substructure;
D O I
10.1023/A:1021271615909
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The maximum common subgraph (MCS) problem has become increasingly important in those aspects of chemoinformatics that involve the matching of 2D or 3D chemical structures. This paper provides a classification and a review of the many MCS algorithms, both exact and approximate, that have been described in the literature, and makes recommendations regarding their applicability to typical chemoinformatics tasks.
引用
收藏
页码:521 / 533
页数:13
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