Contemporary QSAR Classifiers Compared-Reference-Cited by-同舟云学术

Contemporary QSAR Classifiers Compared

Published:2007-01-01 Issue:1 Volume:47 Page:219-227
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Bruce Craig L.¹,Melville James L.¹,Pickett Stephen D.¹,Hirst Jonathan D.¹

Affiliation:

1. School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom, and GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, 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/ci600332j

Reference70 articles.

1. Computational methods for the prediction of ‘drug-likeness’

2. Discovery informatics: its evolving role in drug discovery

3. Correlation of Biological Activity of Phenoxyacetic Acids with Hammett Substituent Constants and Partition Coefficients

4. Deoxyribonucleoside-3′,5′ Cyclic Phosphates. Synthesis and Acid-Catalyzed and Enzymic Hydrolysis

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