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

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

We develop a Regression-based Ranking by Pairwise Cluster Comparisons (RRPCC) method to rank clusters of similar protein complex conformations generated by an underlying docking program. The method leverages robust regression to predict the relative quality difference between any pair or clusters an...

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Bibliographic Details
Main Authors: Shahabeddin Sotudian, Israel T. Desta, Nasser Hashemi, Shahrooz Zarbafian, Dima Kozakov, Pirooz Vakili, Sandor Vajda, Ioannis Ch. Paschalidis
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Protein docking
Machine learning
Ranking
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037021001409

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http://www.sciencedirect.com/science/article/pii/S2001037021001409

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