COSMIC Cancer Gene Census 3D database: understanding the impacts of mutations on cancer targets. Issue 6 (17th June 2021)

• Record Type: Journal Article
• Authors: Alsulami, Ali F; Torres, Pedro H M; Moghul, Ismail; Arif, Sheikh Mohammed; Chaplin, Amanda K; Vedithi, Sundeep Chaitanya; Blundell, Tom L
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 6(2021)
• Publication Date: 2021-06-17
• Subjects: Cancer Gene Census 3D -- hallmark mutations -- modelling cancer genes census -- mutational analyses of cancer drug targets; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbab220
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: Mutations in hallmark genes are believed to be the main drivers of cancer progression. These mutations are reported in the Catalogue of Somatic Mutations in Cancer (COSMIC). Structural appreciation of where these mutations appear, in protein–protein interfaces, active sites or deoxyribonucleic acid (DNA) interfaces, and predicting the impacts of these mutations using a variety of computational tools are crucial for successful drug discovery and development. Currently, there are 723 genes presented in the COSMIC Cancer Gene Census. Due to the complexity of the gene products, structures of only 87 genes have been solved experimentally with structural coverage between 90% and 100%. Here, we present a comprehensive, user-friendly, web interface (https://cancer-3d.com/ ) of 714 modelled cancer-related genes, including homo-oligomers, hetero-oligomers, transmembrane proteins and complexes with DNA, ribonucleic acid, ligands and co-factors. Using SDM and mCSM software, we have predicted the impacts of reported mutations on protein stability, protein–protein interfaces affinity and protein–nucleic acid complexes affinity. Furthermore, we also predicted intrinsically disordered regions using DISOPRED3.