Abstract 2601: COSMIC-3D: exploring cancer mutations in three dimensions for drug design and discovery

Abstract

Abstract Explosions in the availability of cancer genomic data and protein structure data give us the potential to explore cancer molecular biology at an unprecedented scale, and in atomic detail. We present COSMIC-3D, which combines COSMIC, the most comprehensive cancer mutation database available (http://cancer.sanger.ac.uk), with the wealth of publicly available 3D protein structure data, to create a resource with which the protein-structural nature of cancer can be probed. COSMIC-3D will help us understand which cancer mutations drive the progression of cancers, by identifying which are in functional sites that have an effect on driving cell growth and proliferation, and where they are clustered in protein structures across the proteome, for specific cancer types. Through understanding the effects of cancer mutations on known and predicted drug binding sites, we aim to predict potential new drug targets in cancers, and improve the specificity and efficacy of new or existing drugs, by using protein structure with cancer mutation data to guide mutation-specific drug design. COSMIC-3D is available as a web interface at http://cancer.sanger.ac.uk/cosmic3d, and enables interactive exploration of the cancer mutome in a 3D peptide environment, showing all forms of exonic point mutation. Individual mutant locations can be highlighted as molecular surfaces, while recurrence across nonsynonymous substitutions is visualized as 3D heat-maps. Cancer mutations can also be visualised in combination with precalculated small-molecule “druggable” binding sites, providing a powerful visual approach for development of hypotheses across structural, functional, and drug-resistance impacts of cancer variants. COSMIC-3D shows, for example, the steric occlusion of the binding site of ATP-competitive small-molecule inhibitors in the EGFR kinase domain by the mutation of L858 to arginine; these kinds of insights can be applied to novel cancer targets for any protein-structural mutation of interest. The human cancer structural proteome comprising COSMIC-3D extends to nearly 8,500 human genes; 1/3rd of genes in COSMIC. Over 30,000 human protein structures are available across these genes, to which over 345,000 cancer mutations are mapped. From structure based druggability prediction, over 6,500 proteins in COSMIC are predicted to have small-molecule druggable binding sites, making COSMIC-3D a powerful and exciting resource for the exploration and guidance of drug design and discovery in oncology. Citation Format: Harry C. Jubb, Harpreet Saini, Marcel Verdonk, Simon Forbes. COSMIC-3D: exploring cancer mutations in three dimensions for drug design and discovery [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2601. doi:10.1158/1538-7445.AM2017-2601