Scores a gene by combining its fitness defect with the screen outcomes of the gene’s neighbors in the genetic interaction network. GIT is a network analysis method for drug target identification. It identifies many compound-target interactions that comprise existing curated database as well as novel compound-target interactions that are supported by literature evidence. This method also significantly improves target identification and elucidates molecular and functional mechanisms of drug action.
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
GIT funding source(s)
Supported by grant 1U54GM114838 awarded by NIGMS through funds provided by the trans-NIH Big Data to Knowledge (BD2K) initiative, by grant 1652815 awarded by Division of Biological Infrastructure; and by Sloan Research Fellowship and Pharmaceutical Research and Manufacturers of America Foundation Award.