Title
COSMIC Cancer Gene Census 3D database: understanding the impacts of mutations on cancer targets
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.
Year
DOI
Venue
2021
10.1093/bib/bbab220
BRIEFINGS IN BIOINFORMATICS
Keywords
DocType
Volume
Cancer Gene Census 3D, hallmark mutations, modelling cancer genes census, mutational analyses of cancer drug targets
Journal
22
Issue
ISSN
Citations 
6
1467-5463
0
PageRank 
References 
Authors
0.34
0
7