Prediction of protein–RNA binding sites by a random forest method with combined features
Author(s) -
Zhiping Liu,
LingYun Wu,
Yong Wang,
Yu Xia,
Luonan Chen
Publication year - 2010
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btq253
Subject(s) - rna , computational biology , rna binding protein , ribosome , binding site , biology , biochemistry , chemistry , gene
Protein-RNA interactions play a key role in a number of biological processes, such as protein synthesis, mRNA processing, mRNA assembly, ribosome function and eukaryotic spliceosomes. As a result, a reliable identification of RNA binding site of a protein is important for functional annotation and site-directed mutagenesis. Accumulated data of experimental protein-RNA interactions reveal that a RNA binding residue with different neighbor amino acids often exhibits different preferences for its RNA partners, which in turn can be assessed by the interacting interdependence of the amino acid fragment and RNA nucleotide.
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