TopSuite

TopSuite performs protein structure prediction and protein model quality assessment using deep neural networks and a top-down consensus template approach to support structural interpretation of proteins.

Key Features:

• Protein Model Quality Assessment (TopScore): Provides meta-predictions for both global and residue-wise model quality estimation using deep neural networks.
• Template-Based Protein Structure Prediction (TopModel): Employs a top-down consensus approach for template selection and integrates existing protein structures as templates for prediction.
• Model refinement and assessment: Applies TopScore to predicted structures to refine and evaluate model quality.

Scientific Applications:

• Structural Biology: Facilitates interpretation of protein functions and interactions through predicted structures.
• Drug Discovery: Supports therapeutic target characterization by providing structural models of proteins.
• Genomics and Proteomics: Enhances interpretation of genetic and proteomic data by adding structural context.

Methodology:

Uses deep neural networks for TopScore meta-predictions of global and residue-wise quality and a top-down consensus-based template selection approach for TopModel structure prediction.