In:
Human Genomics, Springer Science and Business Media LLC, Vol. 7, No. 1 ( 2013-12)
Abstract:
Protein kinases play important roles in regulating signal transduction in eukaryoticcells. Due to evolutionary conserved binding sites in the catalytic domain of thekinases, most inhibitors that target these sites promiscuously inhibit multiplekinases. Quantitative analysis can reveal complex and unexpected interactions betweenprotein kinases and kinase inhibitors, providing opportunities for identifyingmulti-targeted inhibitors of specific diverse kinases for drug repurposing anddevelopment. We have developed K-Map—a novel and user-friendly web-basedprogram that systematically connects a set of query kinases to kinase inhibitorsbased on quantitative profiles of the kinase inhibitor activities. Users can useK-Map to find kinase inhibitors for a set of query kinases (obtained fromhigh-throughput ‘omics’ experiments) or to reveal new interactionsbetween 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 freelyavailable at: http://tanlab.ucdenver.edu/kMap .
Type of Medium:
Online Resource
ISSN:
1479-7364
DOI:
10.1186/1479-7364-7-20
Language:
English
Publisher:
Springer Science and Business Media LLC
Publication Date:
2013
detail.hit.zdb_id:
2147618-4
