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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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A multiple-template approach to protein threading.

Jian Peng1, Jinbo Xu

  • 1Toyota Technological Institute at Chicago, 6045 S Kenwood, Chicago, Illinois 60637, USA.

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|April 6, 2011
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Summary
This summary is machine-generated.

This study introduces a new multiple-template protein threading method that improves structural modeling accuracy. By using a novel probabilistic-consistency algorithm for alignment, it generates higher-quality protein models than single-template approaches.

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Protein Structure Prediction

Background:

  • Traditional protein threading methods rely on single template structures.
  • The growing number of solved protein structures presents opportunities for utilizing multiple templates.

Purpose of the Study:

  • To develop and evaluate a novel multiple-template threading method for enhanced protein structure prediction.
  • To investigate if utilizing multiple templates improves modeling accuracy compared to single-template methods.

Main Methods:

  • A new multiple-template threading approach was developed.
  • A novel probabilistic-consistency algorithm was designed for simultaneous alignment of a protein sequence to multiple templates.
  • The method was evaluated on CASP9 targets with multiple good template structures.

Main Results:

  • The multiple-template method significantly improves pairwise sequence-template alignment accuracy.
  • Generated protein models exhibit superior quality compared to single-template models (P-value <10(-6)).
  • The method outperformed most other CASP9 servers, demonstrating its effectiveness.

Conclusions:

  • Accurate multiple sequence/template alignment is crucial for improving protein modeling accuracy.
  • The developed probabilistic-consistency algorithm enables effective utilization of multiple templates.
  • This approach shows promise for broader applications in sequence and structure alignment.