title: Minimizing bias in target selection by exploiting multidisciplinary Big Data and the protein interactome.
authors: Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, SM2 5NG, UK.
authors: Bissan
authors: B
authors: Al-Lazikani
authors: Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, SM2 5NG, UK.
authors: Paul
authors: P
authors: Workman
mesh_terms: D000818:Animals; D057225:Data Mining; D016208:Databases, Factual; D055808:Drug Discovery / Q000379:methods*; D006801:Humans; D000069550:Machine Learning; D009369:Neoplasms / Q000188:drug therapy / Q000378:metabolism; D011487:Protein Conformation; D060066:Protein Interaction Maps; D011506:Proteins / Q000737:chemistry / Q000378:metabolism*; D040901:Proteomics / Q000379:methods
chemical_list: D011506:Proteins
keywords: Big Data; cancer; cancer networks; drug combinations; drug discovery; drug resistance; knowledgebase; target selection