Open AccessComparing bioassay response and similarity ensemble approaches to probing protein pharmacology
Author(s) -
Bin Chen,
Kevin J. McConnell,
Nikil Wale,
David Wild,
Eric Gifford
Publication year - 2011
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/btr506
Subject(s) - similarity (geometry) , bioassay , computational biology , computer science , experimental data , chemical similarity , data mining , structural similarity , biology , artificial intelligence , statistics , mathematics , genetics , image (mathematics)
Networks to predict protein pharmacology can be created using ligand similarity or using known bioassay response profiles of ligands. Recent publications indicate that similarity methods can be highly accurate, but it has been unclear how similarity methods compare to methods that use bioassay response data directly.
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