Multiple instance learning of Calmodulin binding sites
Author(s) -
Fayyaz Minhas,
Asa BenHur
Publication year - 2012
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/bts416
Subject(s) - calmodulin , support vector machine , binding site , computer science , artificial intelligence , machine learning , pattern recognition (psychology) , data mining , chemistry , biochemistry , enzyme
Calmodulin (CaM) is a ubiquitously conserved protein that acts as a calcium sensor, and interacts with a large number of proteins. Detection of CaM binding proteins and their interaction sites experimentally requires a significant effort, so accurate methods for their prediction are important.
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