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A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
TASSER_WT: a protein structure prediction algorithm with accurate predicted contact restraints for difficult protein
Seung Yup Lee1, Jeffrey Skolnick
1Center for Study of Systems Biology, Georgia Institute of Technology, Atlanta, Georgia, USA.
Biophysical Journal
|November 4, 2010
Summary
The new TASSER_WT protein structure prediction tool, using COMBCON restraints, significantly improves accuracy for difficult protein targets compared to TASSER_2.0. This advancement enhances protein modeling success rates, especially with higher confidence contact coverage.
Area of Science:
- Computational Biology
- Structural Bioinformatics
- Protein Structure Prediction
Background:
- Accurate protein structure prediction is crucial for understanding biological function.
- Predicting structures for proteins with poor template alignment quality remains a significant challenge.
- Existing methods often struggle with difficult targets, necessitating improved approaches.
Purpose of the Study:
- To develop an improved protein structure prediction method, TASSER_WT, enhancing accuracy for challenging targets.
- To integrate a novel contact restraint method, COMBCON, into the TASSER framework.
- To evaluate the performance of TASSER_WT on a benchmark dataset of difficult protein targets.
Main Methods:
- Development of TASSER_WT, an updated version of TASSER_2.0.
- Incorporation of COMBCON, a new method for generating accurate contact restraints.
- Utilizing confidence-weighted contacts from PROSPECTOR_4 and STITCH, a local structural fragment-based threading algorithm.
- Testing on 622 'Hard' proteins, a subset of 2591 nonhomologous proteins, characterized by poor alignments or templates.
Main Results:
- COMBCON provided more accurate and numerous contact restraints for 454 out of 622 Hard targets.
- TASSER_WT demonstrated significantly lower average root mean-square deviation (RMSD) compared to TASSER_2.0, particularly with increased contact coverage.
- Success rates for TASSER_WT (98.8% at F(wt ≥ 3)(cov) > 1.0) substantially outperformed TASSER_2.0 (76.2% at F(wt ≥ 3)(cov) > 1.0).
Conclusions:
- TASSER_WT represents a significant advancement in protein structure prediction, especially for challenging cases.
- The integration of COMBCON's accurate contact restraints is key to TASSER_WT's improved performance.
- The study highlights the importance of high-quality contact restraints for successful protein structure modeling.
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