Artificial intelligence, machine learning, and drug repurposing in cancer

نویسندگان

چکیده

Introduction: Drug repurposing provides a cost-effective strategy to re-use approved drugs for new medical indications. Several machine learning (ML) and artificial intelligence (AI) approaches have been developed systematic identification of drug leads based on big data resources, hence further accelerating de-risking the development process by computational means.Areas covered: The authors focus supervised ML AI methods that make use publicly available databases information resources. While most example applications are in field anticancer therapies, resources reviewed widely applicable also other indications including COVID-19 treatment. A particular emphasis is placed comprehensive target activity profiles enable extending profile include potent off-targets with therapeutic potential indication.Expert opinion: scarcity clinical patient current genetic aberrations as primary targets may limit performance rely solely genomics-based information. Functional testing cancer cells exposed large number targeted therapies their combinations an additional source tissue-aware approaches.

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ژورنال

عنوان ژورنال: Expert Opinion on Drug Discovery

سال: 2021

ISSN: ['1746-045X', '1746-0441']

DOI: https://doi.org/10.1080/17460441.2021.1883585