Protein structure prediction

Related lectures (32)

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Delves into predicting protein structure through amino acid contact analysis and advanced computational methods.

Explores the revolutionary Alphafold2 for protein structure prediction and its impact on bioinformatics and protein folding biology.

Explores novel enzyme and biosensor design for catalysis and ligand detection.

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

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

Explores protein engineering, elastin-based materials, lab protein production, AI prediction of folding, and non-natural amino acids.

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

Explores the evolution of protein folding techniques, from DCA to AlphaFold.

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

Explores link prediction in networks, covering missing edges, probabilistic methods, and causal inference challenges.