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 hit-list and so may be a useful adjunct to other similarity searching methods.

journal_name

J Chem Inf Model

authors

Rhodes N,Clark DE,Willett P

doi

10.1021/ci0503863

keywords:

subject

Has Abstract

pub_date

2006-03-01 00:00:00

pages

615-9

issue

2

eissn

1549-9596

issn

1549-960X

journal_volume

46

pub_type

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