Similarity Searching in Databases of Flexible 3D Structures Using Autocorrelation Vectors Derived from Smoothed Bounded Distance Matrices-Reference-Cited by-同舟云学术

Similarity Searching in Databases of Flexible 3D Structures Using Autocorrelation Vectors Derived from Smoothed Bounded Distance Matrices

Published:2006-01-04 Issue:2 Volume:46 Page:615-619
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Rhodes Nicholas¹,Clark David E.¹,Willett Peter¹

Affiliation:

1. Department of Information Studies, The University of Sheffield, Regent Court, 211 Portobello Street, Sheffield, South Yorkshire, S1 4DP, United Kingdom, and Argenta Discovery Ltd., 8/9 Spire Green Centre, Flex Meadow, Harlow, Essex, CM19 5TR, United Kingdom

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci0503863

Reference19 articles.

1. Why do we need so many chemical similarity search methods?

2. Novel technologies for virtual screening

3. Searching Techniques for Databases of Two- and Three-Dimensional Chemical Structures

4. “Lead Hopping”. Validation of Topomer Similarity as a Superior Predictor of Similar Biological Activities

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