Lectures related to Computational Protein Design

Covers protein design fundamentals, including secondary structures, amino acid propensity, loops, and computational methods.

Introduces the Potts model, a generalization of the Ising model used in statistical mechanics to study phase transitions.

Explores the design of novel enzymes, sustainable enzyme production, and the creation of selective peptides and biosensors.

Explores molecular interactions, hydrophobic effect, membrane dynamics, and the use of optical tweezers in biological studies.

Explores the link between pair correlation function and physical observables, providing insights into particle interactions in liquids.