Unknown

Dataset Information

Sequence and structure signatures of cancer mutation hotspots in protein kinases.


ABSTRACT: Protein kinases are the most common protein domains implicated in cancer, where somatically acquired mutations are known to be functionally linked to a variety of cancers. Resequencing studies of protein kinase coding regions have emphasized the importance of sequence and structure determinants of cancer-causing kinase mutations in understanding of the mutation-dependent activation process. We have developed an integrated bioinformatics resource, which consolidated and mapped all currently available information on genetic modifications in protein kinase genes with sequence, structure and functional data. The integration of diverse data types provided a convenient framework for kinome-wide study of sequence-based and structure-based signatures of cancer mutations. The database-driven analys

SUBMITTER: Dixit A 

PROVIDER: S-EPMC2759519 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature