Characterizing the Chemical Space of ERK2 Kinase Inhibitors Using Descriptors Computed from Molecular Dynamics Trajectories-Reference-Cited by-同舟云学术

Characterizing the Chemical Space of ERK2 Kinase Inhibitors Using Descriptors Computed from Molecular Dynamics Trajectories

Published:2017-05-19 Issue:6 Volume:57 Page:1286-1299
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Ash Jeremy¹,Fourches Denis¹^ORCID

Affiliation:

1. Department of Chemistry, Bioinformatics Research Center, North Carolina State University, 322 Ricks Hall, 1 Lampe Drive, Raleigh, North Carolina 27695, United States

Funder

North Carolina State University

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.jcim.7b00048

Reference41 articles.

1. Targeting cancer with small molecule kinase inhibitors

2. Targeting cancer with kinase inhibitors

3. Small-molecule kinase inhibitors: an analysis of FDA-approved drugs

4. Compound promiscuity: what can we learn from current data?

5. Matched Molecular Pairs as a Medicinal Chemistry Tool

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