A discriminatory function for prediction of protein–DNA interactions based on alpha shape modeling
Author(s) -
Weiqiang Zhou,
Hong Yan
Publication year - 2010
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/btq478
Subject(s) - alpha (finance) , function (biology) , computer science , computational biology , artificial intelligence , biological system , pattern recognition (psychology) , algorithm , machine learning , mathematics , biology , statistics , genetics , construct validity , psychometrics
Protein-DNA interaction has significant importance in many biological processes. However, the underlying principle of the molecular recognition process is still largely unknown. As more high-resolution 3D structures of protein-DNA complex are becoming available, the surface characteristics of the complex become an important research topic.
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