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A new protein–protein docking scoring function based on interface residue properties
Author(s) -
Julie Bernauer,
Jérôme Azé,
J. Janin,
Anne Poupon
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/btl654
Subject(s) - computer science , macromolecular docking , docking (animal) , support vector machine , in silico , artificial intelligence , structural genomics , machine learning , protein function , protein structure , algorithm , data mining , biology , medicine , biochemistry , nursing , gene
Protein-protein complexes are known to play key roles in many cellular processes. However, they are often not accessible to experimental study because of their low stability and difficulty to produce the proteins and assemble them in native conformation. Thus, docking algorithms have been developed to provide an in silico approach of the problem. A protein-protein docking procedure traditionally consists of two successive tasks: a search algorithm generates a large number of candidate solutions, and then a scoring function is used to rank them.

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