Influence Relevance Voting: An Accurate And Interpretable Virtual High Throughput Screening Method-Reference-Cited by-同舟云学术

Influence Relevance Voting: An Accurate And Interpretable Virtual High Throughput Screening Method

Published:2009-03-26 Issue:4 Volume:49 Page:756-766
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Swamidass S. Joshua¹,Azencott Chloé-Agathe¹,Lin Ting-Wan¹,Gramajo Hugo¹,Tsai Shiou-Chuan¹,Baldi Pierre¹

Affiliation:

1. School of Information and Computer Sciences, Institute for Genomics and Bioinformatics, University of California, Irvine, Irvine, California 92697-3435, School of Biological Sciences, University of California, Irvine, Irvine, California 92697-1450, and Microbiology Division, Instituto de Biología Molecular y Celular de Rosario (IBR), Universidad Nacional de Rosario, Suipacha 531, Rosario, Argentina

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/ci8004379

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1. Distance based algorithms for small biomolecule classification and structural similarity search

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3. Chemoinformatics-Based Classification of Prohibited Substances Employed for Doping in Sport

4. Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds

5. Assessing Different Classification Methods for Virtual Screening

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