Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases-Reference-Cited by-同舟云学术

Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases

Published:2006-03-22 Issue:3 Volume:46 Page:1124-1133
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Nidhi ¹,Glick Meir¹,Davies John W.¹,Jenkins Jeremy L.¹

Affiliation:

1. Indiana University−Purdue University Indianapolis, School of Informatics, Indianapolis, Indiana 46202, and Novartis Institutes for Biomedical Research Inc., Lead Discovery Center, 250 Massachusetts Ave., Cambridge, Massachusetts 02139

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/ci060003g

Reference50 articles.

1. Chemical suppression of a genetic mutation in a zebrafish model of aortic coarctation

2. Chemical genetics: ligand-based discovery of gene function

3. Exploring biology with small organic molecules

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

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