Computational Protein Design: Principles and Challenges

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Related lectures (31)

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Series explores computational protein design, covering challenges, applications, and importance in bioengineering and synthetic biology.

Protein Folding: Structure and Design

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

Protein Design: Structure and Function

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

Protein Structure: General Principles

Explores protein structures, folding principles, and sequence determinants, emphasizing the diverse three-dimensional structures proteins can adopt.

Protein Composition and Structure

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

Proteins: Structure and Function

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

Protein Co-evolution Analysis

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

Engineering Proteins: Structure, Function, and Applications

Covers the structure, function, and engineering of proteins, emphasizing their biological significance and applications in biotechnology.

Protein Interaction Fingerprinting with Geometric Deep Learning

Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.

Protein Design: Computational Methods

Covers challenges in protein design, energy functions, search algorithms, and applications in synthetic biology, emphasizing the importance of protein design and the methods used for designing proteins.