Deep Learning in Chemistry
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If you have a question about this talk, please contact Patrick Flagmeier.
The current revival of interest in artificial intelligence has been driven mostly by the advent of deep learning.
I will explain the concept of deep learning and describe how it has been applied to computational chemistry in the context of pharmacology. In particular, I will look at recent developments using adversarial networks that generate candidate molecules for drug discovery, and I will exam the use of reinforcement learning for this purpose.
This talk is part of the Biophysical Seminars series.
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