ProTSAV

ProTSAV evaluates predicted protein models using data from online servers and standalone tools to provide a unified quality score assessing structural accuracy.

Key Features:

• Comprehensive Quality Assessment: Evaluates predicted protein models using data from multiple sources, including online servers and standalone tools.
• Ranking of Models: Produces comparative rankings of individual structures based on aggregated quality metrics.
• Validation on Extensive Datasets: Validated using over 64,000 protein structures including experimental and predicted models.
• High Accuracy: Reported specificity of 100% and sensitivity of 98% on experimentally solved structures; specificity of 88% and sensitivity of 91% for CASP11 predictions under 2Å resolution.
• Robustness and Reliability: Integrates multiple approaches to ensure robust quality evaluation.

Scientific Applications:

• Model Validation: Ensures the accuracy of predicted protein structures for functional studies.
• Selection for Downstream Applications: Identifies high-quality models suitable for drug design and molecular docking.
• Benchmarking Predictions: Provides a reliable benchmark for comparing different structure prediction methods.

Methodology:

Integrates various quality assessment algorithms and aggregates data from multiple online servers and standalone tools to compute a unified quality score for predicted protein structures.