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: Melo, Rita, Fieldhouse, Robert, Melo, André, Correia, João D. G., Cordeiro, Maria Natália D. S., Gümüş, Zeynep H., Costa, Joaquim, Bonvin, Alexandre M. J. J., Moreira, Irina S.
Format: Online
Language:English
Published: MDPI 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5000613/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5000613/

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