Title
Similarity searching in databases of three-dimensional molecules and macromolecules.
Abstract
This paper discusses algorithmic techniques for measuring the degree of similarity between pairs of three-dimensional (3-D) chemical molecules represented by interatomic distance matrices. A comparison of four methods for the calculation of 3-D structural similarity suggests that the most effective one is a procedure that identifies pairs of atoms, one from each of the molecules that are being compared, that lie at the center of geometrically-related volumes of 3-D space. This atom mapping method enables the calculation of a wide range of types of intermolecular similarity coefficient, including measures that are based on physicochemical data. Massively-parallel implementations of the method are discussed, using the AMT Distributed Array Processor, that achieve a substantial increase in performance when compared with a sequential implementation on a UNIX workstation. Current work involves the use of angular information and the extension of the method to field-based similarity searching. Similarity searching in 3-D macromolecules is effected by the use of a maximal common subgraph (MCS) isomorphism algorithm with a novel, graph-based representation of the tertiary structures of proteins. This algorithm is being used to identify similarities between the 3-D structures of proteins in the Brookhaven Protein Data Bank; its use is exemplified by searches involving the NAD-binding fold motif.
Year
DOI
Venue
1992
10.1021/ci00010a007
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
Keywords
Field
DocType
similarity search,three dimensional
Three-dimensional space,Similitude,Combinatorics,Distance matrices in phylogeny,Macromolecule,Computational chemistry,Algorithm,Structural similarity,Isomorphism,Protein Data Bank,Intermolecular force,Mathematics
Journal
Volume
Issue
ISSN
32
6
0095-2338
Citations 
PageRank 
References 
10
1.33
0
Authors
9
Name
Order
Citations
PageRank
Peter J. Artymiuk120319.62
Peter A. Bath218327.79
Helen M. Grindley3234.59
Catherine A. Pepperrell4263.26
Andrew R. Poirrette5509.21
David W. Rice6417.33
David A. Thorner75612.13
David J. Wild841630.58
PETER WILLETT93421592.93