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Cancers bearing the KRAS G13D mutation are notable for their distinct clinical behavior relative to other oncogenic KRAS mutations. We hypothesized that primary biochemical or biophysical properties of KRAS G13D might contribute to these clinical observations and as part of our study undertook structural studies using x-ray crystallography. In this data article we discuss several x-ray diffraction datasets that yielded structures of oncogenic KRAS mutants including a high resolution (1.13 Å) structure of KRAS G13D. The datasets are typical for high resolution x-ray diffraction data and allow the construction of atomic resolution, three dimensional structural models with high confidence. This data can be correlated with biochemical information such as defects in substrate binding kinetics, GTPase activities and interactions with the RAS effector RAF kinase.
Pubmed ID: 26958611 RIS Download
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Crystallographic software which solves structures using algorithms and automated rapid search calculations to perform molecular replacement and experimental phasing methods.
View all literature mentionsA Python-based software suite for the automated determination of molecular structures using X-ray crystallography and other methods. Phenix includes programs for assessing data quality, experimental phasing, molecular replacement, model building, structure refinement, and validation. It also includes tools for reflection data and creating maps and models. Phenix can also be used for neutron crystallography. Tutorials and examples are available in the documentation tab.
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