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
Hydrophobic interactions dominate the recognition of a KRAS G12V neoantigen.
Wright KM et al.
Nature Communications, 2023
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
Uterine lavage identifies cancer mutations and increased TP53 somatic mutation burden in individuals with ovarian cancer.
Ghezelayagh TS et al.
Cancer Research Communications, 2022
36311816 (PubMed )
Supplement: crc-22-0314-s02.xlsx › Table_S6_List_of_mutations
Clinically actionable cancer somatic variants (CACSV): a tumor interpreted dataset for analytical workflows.
Sobahy TM et al.
Bmc Medical Genomics, 2022
35468810 (PubMed )
Supplement: 12920_2022_1235_MOESM2_ESM.xlsx › Sheet1
KRAS and RAS-MAPK Pathway Deregulation in Mature B Cell Lymphoproliferative Disorders.
Vendramini E et al.
Cancers, 2022
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
LowMACA: exploiting protein family analysis for the identification of rare driver mutations in cancer.
Melloni GE et al.
Bmc Bioinformatics, 2016
26860319 (PubMed )
Supplement: 12859_2016_935_MOESM2_ESM.xlsx › Table_S5
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