QMEAN

QMEAN evaluates the quality of protein structural models to estimate their accuracy relative to native structures.

Key Features:

• QMEAN: A composite scoring function that integrates local geometry, solvation energy, and secondary structure content to provide a single score assessing model accuracy compared to native structures.
• QMEANclust: A clustering-based scoring function that groups similar models to identify consensus regions that are likely to be accurate, improving confidence in specific areas of the protein structure.
• Statistical potentials: Scores are calculated using statistical potentials derived from known protein structures.

Scientific Applications:

• Structural model validation: Provides quality estimates to validate computational protein models in structural biology studies.
• Protein function prediction: Supports selection of reliable models used for predicting protein function.
• Disease research and drug design: Informs studies of disease mechanisms and structure-based drug design by indicating model reliability.
• Model selection and refinement: Helps prioritize and refine models, particularly when experimental data are limited or unavailable.

Methodology:

QMEAN computes a composite score by integrating local geometry, solvation energy, and secondary structure content using statistical potentials derived from known protein structures. QMEANclust performs clustering of models to identify consensus regions and derive cluster-based confidence in local model accuracy.