Binding Affinity Prediction with Property-Encoded Shape Distribution Signatures-Reference-Cited by-同舟云学术

Binding Affinity Prediction with Property-Encoded Shape Distribution Signatures

Published:2010-01-22 Issue:2 Volume:50 Page:298-308
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Das Sourav¹,Krein Michael P.¹,Breneman Curt M.²

Affiliation:

1. Department of Chemistry & Chemical Biology, Rensselaer Polytechnic Institute, 110-eighth Street, Troy, New York 12180

2. Department of Chemistry & Chemical Biology/RECCR Center, Rensselaer Polytechnic Institute, 110-eighth Street, Center for Biotechnology and Interdisciplinary Studies, Troy, New York 12180

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/ci9004139

Reference69 articles.

1. Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programming

2. A General and Fast Scoring Function for Protein−Ligand Interactions: A Simplified Potential Approach

3. The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure

4. A Fast Flexible Docking Method using an Incremental Construction Algorithm

5. Development and validation of a genetic algorithm for flexible docking 1 1Edited by F. E. Cohen

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