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Improving Predictions of Protein-Protein Interfaces by Combining Amino Acid-Specific Classifiers Based on Structural and Physicochemical Descriptors with Their Weighted Neighbor Averages
Author(s) -
Fábio Rogério de Moraes,
Izabella A. Pena,
Ivan Mazoni,
I. H. Yano,
J. G. Pereira,
José Augusto Salim,
J. G. Jardine,
Goran Neshich
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0087107
Subject(s) - classifier (uml) , discriminative model , computer science , protein structure prediction , computational biology , artificial intelligence , random forest , machine learning , receiver operating characteristic , amino acid , protein structure , data mining , biology , biochemistry

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