Targeted therapy in GIST: in silico modeling for prediction of resistance
Targeted therapy in GIST: in silico modeling for prediction of resistance
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
New techniques, such as crystallography and three-dimensional modeling, can be used to assist the development of selective targeted agents for cancer treatment. In this Review, Pierotti and colleagues discuss the molecular features of KIT and PDGFRA receptor tyrosine kinases, which are druggable targets in gastrointestinal stromal tumors. The autho...
Alternative Titles
Full title
Targeted therapy in GIST: in silico modeling for prediction of resistance
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_855199727
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_855199727
Other Identifiers
ISSN
1759-4774
E-ISSN
1759-4782
DOI
10.1038/nrclinonc.2011.3
