CLIPS-4D: a classifier that distinguishes structurally and functionally important residue-positions based on sequence and 3D data
Author(s) -
Jan-Oliver Janda,
Andreas Meier,
Rainer Merkl
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt519
Subject(s) - clips , classifier (uml) , computer science , artificial intelligence , protein data bank , support vector machine , data mining , protein data bank (rcsb pdb) , pattern recognition (psychology) , machine learning , protein structure , biology , biochemistry
The precise identification of functionally and structurally important residues of a protein is still an open problem, and state-of-the-art classifiers predict only one or at most two different categories.
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