NeEMO

NeEMO evaluates stability changes in proteins caused by amino acid mutations by using residue interaction networks to assess effects on internal energy and structural integrity.

Key Features:

• Residue Interaction Networks (RINs): RINs extract features describing interactions between mutant amino acids and their surrounding structural environment for network-based representation of proteins.
• Comprehensive evaluation: Predicts stability changes across various protein regions, including β-strands and buried residues.
• Benchmarking performance: Outperforms nine recent methods with a Pearson correlation coefficient of 0.77 and a standard error of 1 Kcal/mol on an independent validation dataset.

Scientific Applications:

• Disease variant interpretation: Aids analysis of missense variants implicated in protein misfolding or instability.
• Protein design: Supports design efforts to enhance protein stability or function by evaluating candidate amino acid substitutions.
• Variant annotation: Provides insights into how specific amino acid substitutions affect protein stability to inform biological impact assessments.

Methodology:

Represents proteins as residue interaction networks (RINs) and analyzes thermodynamic changes by assessing internal energy shifts caused by amino acid mutations to predict stability effects.