VoroMQA web server for assessing three-dimensional structures of proteins and protein complexes

Area of Science:

• Structural Biology
• Computational Biology
• Bioinformatics

Background:

• Estimating protein structure quality is crucial for computational model selection and experimental structure validation.
• Accurate assessment of protein-protein interaction interfaces is vital for understanding biological mechanisms.

Purpose of the Study:

• To introduce the VoroMQA web server for protein structure quality estimation.
• To provide global and local quality scores for protein structures, including interfaces.
• To offer visualization tools for local scores, secondary structure, and solvent accessibility.

Main Methods:

• Utilizes Voronoi tessellation-based Model Quality Assessment (VoroMQA).
• Accepts protein structures in PDB format (monomers or complexes).
• Provides per-residue local scores, global scores, and interface-specific assessments.

Main Results:

• VoroMQA demonstrated outstanding performance in CASP and CAPRI experiments for model selection and local accuracy estimation.
• The web server offers detailed local scores, secondary structure, and solvent accessibility for enhanced visualization.
• Unique capabilities include direct assessment of protein-protein interaction interfaces with quality scores and energy estimates.

Conclusions:

• The VoroMQA web server is a valuable tool for assessing protein structure quality and interfaces.
• Its robust performance in community-wide experiments validates its utility in structural biology.
• Facilitates the selection of reliable protein models and the validation of experimental data.