SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features

Protein Hot-Spots (HS) are experimentally determined amino acids, key to small ligand binding and tend to be structural landmarks on protein-protein interactions. As such, they were extensively approached by structure-based Machine Learning (ML) prediction methods. However, the availability of a muc...

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Bibliographic Details
Main Author: Preto, A. J. (author)
Other Authors: Moreira, Irina S. (author)
Format: article
Language:eng
Published: 2020
Subjects:
big-data; hot-spots; machine learning; protein–protein complexes; structural biology
Amino Acid Sequence
Amino Acids
Binding Sites
Computational Biology
Databases, Protein
Datasets as Topic
Humans
Protein Binding
Protein Interaction Mapping
Proteins
Machine Learning
Online Access:http://hdl.handle.net/10316/101280
Country:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/101280

Internet

http://hdl.handle.net/10316/101280

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