Abstract:
UNLABELLED: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. AVAILABILITY AND IMPLEMENTATION:K-Map has been implemented in python scripting language and the website is freely available at: http://tanlab.ucdenver.edu/kMap.
journal_name
Hum Genomicsjournal_title
Human genomicsauthors
Kim J,Yoo M,Kang J,Tan ACdoi
10.1186/1479-7364-7-20subject
Has Abstractpub_date
2013-09-23 00:00:00pages
20eissn
1473-9542issn
1479-7364pii
1479-7364-7-20journal_volume
7pub_type
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