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16:41
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Recursive protein modeling: a divide and conquer strategy for Protein Structure Prediction and its case study in
Jianlin Cheng1, Jesse Eickholt, Zheng Wang
1Department of Computer Science, University of Missouri, Columbia, MO 65211, USA. chengji@missouri.edu
Journal of Bioinformatics and Computational Biology
|July 20, 2012
Summary
This study introduces a recursive protein modeling approach that combines template-based and template-free methods. This integration improves protein structure prediction accuracy and efficiency, especially for challenging cases.
Area of Science:
- Computational Biology
- Structural Bioinformatics
- Protein Science
Background:
- Protein structure prediction is a long-standing challenge in molecular biology.
- Current methods, template-based and template-free modeling, have limitations.
- Integrating these techniques for improved protein modeling is underexplored.
Purpose of the Study:
- To develop a recursive approach for protein modeling.
- To selectively and collaboratively apply template-based and template-free methods.
- To enhance the quality and efficiency of protein structure prediction.
Main Methods:
- A recursive protein modeling strategy was developed.
- The approach selectively applies template-based and template-free modeling to different protein regions.
- Preliminary implementation tested on challenging cases from CASP9.
Main Results:
- The recursive approach successfully improved modeling quality in most tested hard cases.
- Integration of template-based and template-free methods demonstrated collaborative benefits.
- The method effectively addressed both template-covered and template-free regions.
Conclusions:
- Recursive protein modeling significantly reduces complexity.
- The integrated approach enhances both the quality and efficiency of protein structure prediction.
- This method offers a promising strategy for tackling difficult protein modeling problems.
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