Associated Papers
Comprehensive structure-function analysis reveals gain- and loss-of-function mechanisms impacting oncogenic KRAS activity.
Kwon JJ et al.
Biorxiv : the Preprint Server for Biology, 2024
39484452 (PubMed )
Supplement: media-2.zip › Extended_Data_Tables › Extended_Data_Table_1.xlsx › KRAS_GOF_DMS_Screen
Beyond Structural Bioinformatics for Genomics with Dynamics Characterization of an Expanded KRAS Mutational Landscape.
Ratnasinghe BD et al.
Biorxiv : the Preprint Server for Biology, 2023
Beyond structural bioinformatics for genomics with dynamics characterization of an expanded KRAS mutational landscape.
Ratnasinghe BD et al.
Computational and Structural Biotechnology Journal, 2023
Structural bioinformatics enhances mechanistic interpretation of genomic variation, demonstrated through the analyses of 935 distinct RAS family mutations.
Tripathi S et al.
Bioinformatics (oxford, England), 2021
33226070 (PubMed )
Supplement: btaa972_supplementary_data.zip › RAS_Manuscript_RMarkdown.tar.gz › RAS_Manuscript1.Revised › RAS_Variants_Scores.xlsx › Sheet1
Selective identification of somatic mutations in pancreatic cancer cells through a combination of next-generation sequencing of plasma DNA using molecular barcodes and a bioinformatic variant filter.
Kukita Y et al.
Plos One, 2018
29451897 (PubMed )
Supplement: pone.0192611.s007.xlsx › tableSX
The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes.
Pagan M et al.
Bmc Bioinformatics, 2016
26818556 (PubMed )
Supplement: 12859_2015_849_MOESM3_ESM.pdf
Structure-energy-based predictions and network modelling of RASopathy and cancer missense mutations.
Kiel C et al.
Molecular Systems Biology, 2014
24803665 (PubMed )
Supplement: MSB-10-5-727-s13.xls › energies
The structural impact of cancer-associated missense mutations in oncogenes and tumor suppressors.
Stehr H et al.
Molecular Cancer, 2011
21575214 (PubMed )
Supplement: 1476-4598-10-54-S3.XLS › mutations.txt
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