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Monthly Archives: April 2023
Learning generative models for molecules
Drug discovery is a well-known and challenging problem. Typically, one needs to navigate through a vast chemical space of up to \( 10^{60} \) small organic molecules to find a potential drug candidate with desired properties. Such a trial-and-error process … Continue reading
Posted in projects
Tagged generative modeling, graph network, machine learning, research project, snsf
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