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

@inproceedings{Melo2016AML,
  title={A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces},
  author={Rita Melo and Robert Fieldhouse and A. Melo and Jo{\~a}o D. G. Correia and M Nat{\'a}lia Dias Soeiro Cordeiro and Zeynep H. G{\"u}m{\"u}s and Joaquim Costa and Alexandre Mjj Bonvin and Irina S. Moreira},
  booktitle={International journal of molecular sciences},
  year={2016}
}
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 is trained on a large number of complexes and on a significantly larger number of different structural- and evolutionary sequence-based features. In particular, we added interface size, type of… CONTINUE READING
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