K-Map: connecting kinases with therapeutics for drug repurposing and development.
Protein kinases play important roles in regulating signal transduction in eukaryotic cells. Due to evolutionary conserved binding sites in the catalytic domain of the kinases, most inhibitors that target these sites promiscuously inhibit multiple kinases. Quantitative analysis can reveal complex and unexpected interactions between protein kinases and kinase inhibitors, providing opportunities for identifying multi-targeted inhibitors of specific diverse kinases for drug repurposing and development. We have developed K-Map-a novel and user-friendly web-based program that systematically connects a set of query kinases to kinase inhibitors based on quantitative profiles of the kinase inhibitor activities. Users can use K-Map to find kinase inhibitors for a set of query kinases (obtained from high-throughput 'omics' experiments) or to reveal new interactions between kinases and kinase inhibitors for rational drug combination studies.


METHODS
K-Map has been implemented in python scripting language and the website is freely available at: http://tanlab.ucdenver.edu/kMap.
Translational Bioinformatics and Cancer Systems Biology Laboratory, Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA. aikchoon.tan@ucdenver.edu.
Jihye
J
Kim
Minjae
M
Yoo
Jaewoo
J
Kang
Aik Choon
AC
Tan
D019295:Computational Biology / Q000379:methods*; D058492:Drug Repositioning / Q000379:methods*; D006801:Humans; D020407:Internet; D008962:Models, Theoretical; D009154:Mutation; D011494:Protein Kinases / Q000235:genetics* / Q000378:metabolism; D012984:Software
D011494:Protein Kinases