Protein Structure Prediction: Alphafold2

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 1 of 4

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

Protein Structure: General Principles

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

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 Folding: Structure and Design

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

Protein Co-evolution Analysis

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

Protein Design: Structure and Function

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

Protein Structure: General Principles

Discusses the organization of protein structures and the role of protein folding.

Protein Composition and Structure

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

Computational Protein Design

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

Proteins: Structure and Function

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