Searching for Target-Selective Compounds Using Different Combinations of Multiclass Support Vector Machine Ranking Methods, Kernel Functions, and Fingerprint Descriptors-Reference-Cited by-同舟云学术

Searching for Target-Selective Compounds Using Different Combinations of Multiclass Support Vector Machine Ranking Methods, Kernel Functions, and Fingerprint Descriptors

Published:2009-02-27 Issue:3 Volume:49 Page:582-592
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Wassermann Anne Mai¹,Geppert Hanna¹,Bajorath Jürgen¹

Affiliation:

1. Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, D-53113 Bonn, Germany

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/ci800441c

Reference27 articles.

1. Global mapping of pharmacological space

2. Chemical genetics to chemical genomics: small molecules offer big insights

3. Chemogenomics: an emerging strategy for rapid target and drug discovery

4. Exploring biology with small organic molecules

5. Computational approaches in chemogenomics and chemical biology: current and future impact on drug discovery

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