Title
Similarity Searching in Databases of Flexible 3D Structures Using Autocorrelation Vectors Derived from Smoothed Bounded Distance Matrices.
Abstract
This paper presents an exploratory study of a novel method for flexible 3-D similarity searching based on autocorrelation vectors and smoothed bounded distance matrices. Although the new approach is unable to outperform an existing 2-D similarity searching in terms of enrichment factors, it is able to retrieve different compounds at a given percentage of the hitlist and so may be a useful adjunct to other similarity searching methods.
Year
DOI
Venue
2006
10.1021/ci0503863
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Keywords
Field
DocType
similarity search
Discrete mathematics,Distance matrices in phylogeny,Combinatorial chemistry,Theoretical computer science,Mathematics,Autocorrelation,Bounded function
Journal
Volume
Issue
ISSN
46
2
1549-9596
Citations 
PageRank 
References 
1
0.36
0
Authors
3
Name
Order
Citations
PageRank
Nicholas Rhodes1192.51
David E Clark212441.63
PETER WILLETT33421592.93