Improved cluster ranking in protein–protein docking using a regression approach-Reference-Cited by-同舟云学术

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Improved cluster ranking in protein–protein docking using a regression approach

Published:2021 Issue: Volume:19 Page:2269-2278
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Sotudian Shahabeddin,Desta Israel T.,Hashemi Nasser,Zarbafian Shahrooz,Kozakov Dima,Vakili Pirooz,Vajda Sandor,Paschalidis Ioannis Ch.

Funder

National Institute of General Medical Sciences

National Science Foundation

National Institutes of Health

Office of Naval Research

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference34 articles.

1. Principles of protein-protein interactions;Jones;Proc Natl Acad Sci USA,1996

2. The cell as a collection of protein machines: Preparing the next generation of molecular biologists;Alberts;Cell,1998

3. Mechanisms of mitotic spindle assembly;Petry;Annu Rev Biochem,2016

4. Scoring docked conformations generated by rigid-body protein-protein docking, Proteins: Structure;Camacho;Funct Gen,2000

5. DARS (decoys as the reference state) potentials for protein-protein docking;Chuang;Biophys J,2008

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3. Whole proteome analysis of MDR Klebsiella pneumoniae to identify mRNA and multiple epitope based vaccine targets against emerging nosocomial and lungs associated infections;Journal of Biomolecular Structure and Dynamics;2023-12-23

4. ComDock: A novel approach for protein-protein docking with an efficient fusing strategy;Computers in Biology and Medicine;2023-12

5. Distributionally robust learning-to-rank under the Wasserstein metric;PLOS ONE;2023-03-30

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