Explores the EXSCALATE4COV project, focusing on computational drug discovery for COVID-19 treatments and the collaboration between academia and industry.
Explores relevant interactions for biopolymers, including observable interactions, the Flory approach, and hydrophobic interactions in biological polymers.
Explores evaluation protocols in machine learning, including recall, precision, accuracy, and specificity, with real-world examples like COVID-19 testing.