title: Cancer networks and beyond: interpreting mutations using the human interactome and protein structure.
abstract: Over recent years, with the advances in next-generation sequencing, a large number of cancer mutations have been identified and accumulated in public repositories. Coupled to this is our increased ability to generate detailed interactome maps that help to enrich our knowledge of the biological implications of cancer mutations. As a result, network analysis approaches have become an invaluable tool to predict and interpret mutations that are associated with tumour survival and progression. Our understanding of cancer mechanisms is further enhanced by mapping protein structure information to such networks. Here we review the current methodologies for annotating the functional impacts of cancer mutations, which range from analysis of protein structures to protein-protein interaction network studies.
authors.affiliation: Biomolecular Modelling Laboratory, Cancer Research UK London Research Institute, London, United Kingdom.
authors.forename: Sakshi
authors.initials: S
authors.lastname: Gulati
authors.forename: Tammy M K
authors.initials: TM
authors.lastname: Cheng
authors.forename: Paul A
authors.initials: PA
authors.lastname: Bates
mesh_terms: D019295:Computational Biology / Q000379:methods; D053263:Gene Regulatory Networks / Q000235:genetics*; D006801:Humans; D008958:Models, Molecular; D009154:Mutation; D009369:Neoplasms / Q000235:genetics* / Q000378:metabolism; D011485:Protein Binding; D060066:Protein Interaction Maps / Q000235:genetics; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism
chemical_list: D011506:Proteins
keywords: Cancer; Mutations; Protein structure; Protein–protein interaction networks