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Definition and classification of evaluation units for CASP10
Todd J Taylor1, Chin-Hsien Tai, Yuanpeng J Huang
1Laboratory of Molecular Biology, Center for Cancer Research National Cancer Institute National Institutes of Health, Bethesda, Maryland, 20892-4264.
Proteins
|October 15, 2013
Summary
In CASP10, protein targets were divided into evaluation units (EUs) for assessing protein structure prediction. EUs were categorized as template-based modeling or free modeling, with novel multidomain EUs introduced.
Area of Science:
- Computational biology
- Structural biology
- Bioinformatics
Background:
- The Critical Assessment of protein Structure Prediction (CASP) experiments evaluate protein structure prediction methods.
- Protein targets in CASP are typically divided into evaluation units (EUs) for assessment.
Purpose of the Study:
- To describe the definition and classification of EUs for CASP10.
- To detail the challenges encountered and their resolutions during EU definition and classification.
- To introduce and evaluate multidomain EUs for assessing interdomain arrangements.
Main Methods:
- EUs were defined as individual structural domains or, in CASP10, as novel multidomain units.
- EUs were classified into template-based modeling (TBM) or free modeling (FM) categories.
- Classification was based on sequence and structural similarity searches for templates, with case-by-case evaluation for ambiguous cases.
Main Results:
- CASP10 introduced multidomain EUs, including three novel arrangements, to assess interdomain orientation prediction.
- The TBM category was assigned if sequence similarity searches yielded a template.
- The FM category was assigned if structural similarity searches failed to find a template.
Conclusions:
- The CASP10 methodology expanded EU definition to include multidomain structures, focusing on interdomain arrangements.
- A clear classification system for EUs into TBM and FM was established, with provisions for ambiguous cases.
- The approach facilitated a more comprehensive evaluation of protein structure prediction techniques.
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