Substructure Mining of GPCR Ligands Reveals Activity-Class Specific Functional Groups in an Unbiased Manner-Reference-Cited by-同舟云学术

Substructure Mining of GPCR Ligands Reveals Activity-Class Specific Functional Groups in an Unbiased Manner

Published:2009-02-03 Issue:2 Volume:49 Page:348-360
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

van der Horst Eelke¹,Okuno Yasushi¹,Bender Andreas¹,IJzerman Adriaan P.¹

Affiliation:

1. Division of Medicinal Chemistry, Leiden/Amsterdam Center for Drug Research, Leiden University, Einsteinweg 55, 2333CC Leiden, The Netherlands, and Department of PharmacoInformatics, Center for Integrative Education of Pharmacy Frontier, Graduate School of Pharmaceutical Sciences, Kyoto University, Japan

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/ci8003896

Reference54 articles.

1. The Properties of Known Drugs. 1. Molecular Frameworks

2. Properties of Known Drugs. 2. Side Chains

3. Distribution of Molecular Scaffolds and R-Groups Isolated from Large Compound Databases

4. A New Approach to Finding Natural Chemical Structure Classes

5. A Family of Ring System-Based Structural Fragments for Use in Structure−Activity Studies: Database Mining and Recursive Partitioning

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