A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces

A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces

Understanding protein-protein interactions is a key challenge in biochemistry. In this work, we describe a more accurate methodology to predict Hot-Spots (HS) in protein-protein interfaces from their native complex structure compared to previous published Machine Learning (ML) techniques. Our model...

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Bibliographic Details
Main Authors: Rita Melo, Robert Fieldhouse, André Melo, João D. G. Correia, Maria Natália D. S. Cordeiro, Zeynep H. Gümüş, Joaquim Costa, Alexandre M. J. J. Bonvin, Irina S. Moreira
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:International Journal of Molecular Sciences
Subjects:
protein-protein interfaces
hot-spots
machine learning
Solvent Accessible Surface Area (SASA)
evolutionary sequence conservation
Online Access:http://www.mdpi.com/1422-0067/17/8/1215

Internet

http://www.mdpi.com/1422-0067/17/8/1215

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