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Drug Discovery using AlphaFold, Neural Networks, and Docking Algorithms - Livestream

From 2020 to 2022, I embarked on two different drug discovery projects. The first project dealt with small molecule drugs, using machine learning to expedite processes within computational chemistry. On the second project, I worked on protein therapeutics, particularly nanobodies. Unlike the small molecule drugs, synthetic nanobodies and antibodies are more easily accepted by the body since the mimic our immune system. Discovering effective nanobodies remains a time consuming process, mostly involving extensive wet-lab procedures. I was to develop biocomputational techniques to accelerate the determination of nanobodies with higher specificity and affinity to a pathogenic target, reducing costs and time-to-market and thereby saving lives.

Speaker: Anirudh Venkatraman, Homestead High School

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Monday, 08/22/22


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SF Bay Association of Computing Machinery

, CA