Protein Folding: From DCA to AlphaFold

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Explores protein folding basics, stability, mutations, and computational methods.

Explores bio-inspired learning with neural networks and genetic algorithms, covering structure, training, and practical applications.

Explains protein synthesis, translation, and the central dogma of molecular biology.

Delves into protein co-evolution analysis, covering discoveries, residue contacts, and direct coupling analysis.

Explores protein folding dynamics, chaperones, ATP hydrolysis, and DNA folding intricacies within the nucleus.

Explores protein folding, misfolding consequences, chaperones' role, and ATP importance.

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

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

Explores the evolution of protein structure prediction with AlphaFold models and introduces OpenFold insights.

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