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'Big data' approaches for novel anti-cancer drug discovery
journal contribution
posted on 2023-06-09, 14:26 authored by Graeme Benstead-Hume, Sarah Wooller, Frances PearlFrances PearlIntroduction: The development of improved cancer therapies is frequently cited as an urgent unmet medical need. Here we review how recent advances in platform technologies and the increasing availability of biological ‘big data’ are providing an unparalleled opportunity to systematically identify the key genes and pathways involved in tumorigenesis. We then discuss how these discoveries may be amenable to therapeutic interventions. Areas covered: We discuss the current approaches that use ‘big data’ to identify cancer drivers. These approaches include genomic sequencing, pathway data, multi-platform data, identifying genetic interactions such as synthetic lethality and using cell line data. We review how big data is being used to assess the tractability of potential drug targets and how systems biology is being utilised to identify novel drug targets. We finish the review with an overview of available data repositories and tools being used at the forefront of cancer drug discovery. Expert opinion: Targeted therapies based on the genomic events driving the tumour will eventually inform treatment protocols. However, using a tailored approach to treat all tumour patients may require developing a large repertoire of targeted drugs.
History
Publication status
- Published
File Version
- Accepted version
Journal
Expert opinion in drug discoveryISSN
1746-045XPublisher
Taylor and FrancisExternal DOI
Issue
6Volume
12Page range
599-609Department affiliated with
- Biochemistry Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2018-08-08First Open Access (FOA) Date
2018-08-08First Compliant Deposit (FCD) Date
2018-08-07Usage metrics
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