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 Modeljournal_title
Journal of chemical information and modelingauthors
Rhodes N,Clark DE,Willett Pdoi
10.1021/ci0503863keywords:
subject
Has Abstractpub_date
2006-03-01 00:00:00pages
615-9issue
2eissn
1549-9596issn
1549-960Xjournal_volume
46pub_type
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