Protein Structure Prediction

Related lectures (32)

Page 1 of 4

Explores protein folding, hydrophobic interactions, compact conformations, the HP model, co-evolution, and computational methods.

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

Delves into protein polymers, discussing co-evolution, diffusion, protein structures, and experimental methods.

Explores the structure and function of proteins, emphasizing their diverse roles in living organisms.

Explores protein co-evolutionary analysis, covering protein functions, folding, correlations, DCA, and structure prediction tools like AlphaFold 2.

Introduces amino acids, protein structures, and protein-based natural materials like silk and collagen.

Explores protein composition, peptide bonds, structures, folding, and stability.

Explores protein composition, peptide bonds, secondary structures, and protein folding prediction.

Covers protein structure, post-translational modifications, and analysis techniques.

Delves into analyzing residue coevolution in protein families to capture native contacts and predict spatial proximity and protein interactions.