ISIS: interaction sites identified from sequence
Author(s) -
Yanay Ofran,
Burkhard Rost
Publication year - 2007
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/btl303
Subject(s) - sequence (biology) , computer science , interface (matter) , computational biology , identification (biology) , protein structure , protein–protein interaction , protein sequencing , sequence alignment , artificial intelligence , data mining , peptide sequence , biology , genetics , biochemistry , botany , bubble , maximum bubble pressure method , parallel computing , gene
Large-scale experiments reveal pairs of interacting proteins but leave the residues involved in the interactions unknown. These interface residues are essential for understanding the mechanism of interaction and are often desired drug targets. Reliable identification of residues that reside in protein-protein interface typically requires analysis of protein structure. Therefore, for the vast majority of proteins, for which there is no high-resolution structure, there is no effective way of identifying interface residues.
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