QCS
QCS: Superimposition-Independent Protein Structure Quality Assessment
QCS automatically evaluates predicted protein structures by quantifying global topology and local structural features without superimposing models onto reference templates.
Key Features:
- Automatic Evaluation: Automates structural quality assessment to ensure consistent and objective scoring.
- Superimposition Independence: Assesses models without structural alignment to known templates, enabling template-free evaluation.
- Global and Local Structural Analysis: Quantifies both overall topology and fine-grained structural features for comprehensive accuracy assessment.
Scientific Applications:
- CASP9 Free Modeling Assessment: Evaluated predictions in the Critical Assessment of Structure Prediction (CASP9) Free Modeling category, demonstrating stronger agreement with manual inspection than Global Distance Test Total Score (GDT_TS) and Contact Score (CS).
- Model Differentiation: Distinguishes models of similar predicted quality.
- High-Quality Model Identification: Detects high-quality models not identified by metrics such as GDT_TS.
Methodology:
QCS integrates criteria derived from manual inspection in CASP9 Free Modeling assessments into an automated algorithm that captures essential structural features, emphasizing global topology and local structural attributes to balance macroscopic and microscopic evaluation.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Cong Q, Kinch LN, Pei J, Shi S, Grishin VN, Li W, Grishin NV. An automatic method for CASP9 free modeling structure prediction assessment. Bioinformatics. 2011;27(24):3371-3378. doi:10.1093/bioinformatics/btr572. PMID:21994223. PMCID:PMC3232368.