Growth of Ligand–Target Interaction Data in ChEMBL Is Associated with Increasing and Activity Measurement-Dependent Compound Promiscuity-Reference-Cited by-同舟云学术

Growth of Ligand–Target Interaction Data in ChEMBL Is Associated with Increasing and Activity Measurement-Dependent Compound Promiscuity

Published:2012-09-28 Issue:10 Volume:52 Page:2550-2558
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Hu Ye¹,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/ci3003304

Reference19 articles.

1. Systematic computational analysis of structure–activity relationships: concepts, challenges and recent advances

2. Activity Landscape Representations for Structure−Activity Relationship Analysis

3. Global mapping of pharmacological space

4. Relating protein pharmacology by ligand chemistry

5. Network pharmacology: the next paradigm in drug discovery

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