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University of Cambridge > Talks.cam > Computational and Systems Biology Seminar Series 2023 - 24 > Computational Biology in Drug Discovery
Computational Biology in Drug DiscoveryAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Samantha Noel. Our intention is to deliver all Seminars in person. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator Drug discovery remains a very long and costly process with reducing attrition a major objective. We have shown previously that using human genetics evidence may increase the chance of success in the clinic for drug targets. In addition, functional genomics technologies that can measure or perturb the genome at scale can also be used to identify and validate new drug targets, support patient stratification or understanding of mechanism of action. In this talk, using examples. I will describe how the combination of large scale genetics and functional genomics data combined with analytics is impacting drug discovery. This talk is part of the Computational and Systems Biology Seminar Series 2023 - 24 series. This talk is included in these lists:
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Other listsLand Economy Seminar SeriesOther talksSagaScape: Simulating human impact and community formation in southwest Anatolia during the first millennium BCE Upcoming BIOMASS Earth Explorer 7 mission: concept and validation challenges A framework for measuring biodiversity impacts of land use change Understanding Tensegrity with an Energy Function Resurgence in the 2d O(N) sigma-models Plenary Talk: TBC |