Protein Interaction Fingerprinting with Geometric Deep Learning

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

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

Covers the principles and challenges of computational protein design in bioengineering.

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

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

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

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

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

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

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