3D Molecular Similarity: Method and Algorithms

DOI Web Site Web Site 参考文献13件
  • URSU Oleg
    Faculty of Chemistry and Chemical Engineering, 11, Babes-Bolyai University
  • V. DIUDEA Mircea
    Faculty of Chemistry and Chemical Engineering, 11, Babes-Bolyai University
  • NAKAYAMA Shin-ichi
    University of Tsukuba, Research Center for Knowledge Communities

この論文をさがす

抄録

This study presents a method and algorithms for calculation of 3D similarity between pairs of chemical structures represented as 3D molecular graphs. Similarity searching in chemical databases is widely used for virtual screening, lead discovery and optimization, and most recently protein amino-acid sequences studies to discover and determine the functionality of a new isolated protein. This method has obvious advantages over other known methods due to the following: (i) the superposition method does not depend on the preliminary alignments of the chemical structures; (ii) entire conformational space is searched without generation of each conformer; (iii) excellent discrimination between geometrical isomers. Although it is a computationally demanding method, recent implementation of maximum clique algorithm and bound smoothing algorithm made possible the optimization of this method and application to similarity searching in chemical databases of non trivial size.

収録刊行物

参考文献 (13)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ