Lecture

Predicting COVID-19 Therapeutic Mechanisms

Description

This lecture delves into the computational methods used to predict therapeutic mechanisms for COVID-19, covering topics such as drug repurposing, machine learning, and atomistic simulations. It explores the stages of the disease, drug targets, and the use of pharmacophore-based and structure-based methods.

Official source

https://mediaspace.epfl.ch/media/0_3o9mh0nd

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Ontological neighbourhood

Health sciences

Infectious diseases: Topics in infectious diseases

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