Improving Docking Power for Short Peptides Using Random Forest-Reference-Cited by-同舟云学术

Improving Docking Power for Short Peptides Using Random Forest

Published:2021-06-14 Issue:6 Volume:61 Page:3074-3090
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Sanner Michel F.¹^ORCID,Dieguez Leonard²,Forli Stefano¹^ORCID,Lis Ewa²

Affiliation:

1. Department of Integrative Structural and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 93037, United States

2. Koliber Biosciences, Inc., 12265 World Trade Drive, Suite G, San Diego, California 92128, United States

Funder

National Institute of General Medical Sciences

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/acs.jcim.1c00573

Reference84 articles.

1. Peptide-mediated interactions in biological systems: new discoveries and applications

2. Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm

3. Contextual Specificity in Peptide-Mediated Protein Interactions

4. Intrinsically disordered proteins in cellular signalling and regulation

5. Peptides and peptidomimetics as regulators of protein–protein interactions

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