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A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

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Published on: November 3, 2011

TOPS++FATCAT: fast flexible structural alignment using constraints derived from TOPS+ Strings Model.

Mallika Veeramalai1, Yuzhen Ye, Adam Godzik

  • 1Joint Center for Molecular Modeling, Burnham Institute for Medical Research, La Jolla, CA 92037, USA. mallikav@burnham.org

BMC Bioinformatics
|September 2, 2008
PubMed
Summary
This summary is machine-generated.

We developed TOPS++FATCAT, a faster protein structure comparison tool. It offers FATCAT accuracy at sequence alignment speeds, enabling interactive protein structure similarity searches.

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Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Protein structure analysis

Background:

  • Protein structure analysis and comparison are challenging in structural bioinformatics.
  • Existing tools often lack the intuitive understanding of protein structures used in structural biology.
  • Intuitive approaches can accelerate database searches and improve result interpretation.

Purpose of the Study:

  • To develop a novel algorithm that integrates intuitive structural representations with existing protein structure comparison methods.
  • To enhance the speed and efficiency of protein structure similarity searches without significant loss of accuracy.

Main Methods:

  • Developed the TOPS++FATCAT algorithm, which utilizes TOPS diagrams for intuitive protein structure description.
  • Integrated TOPS diagrams to limit the search space of aligned fragment pairs (AFPs) within the FATCAT algorithm.
  • Focused on flexible alignment of protein structures.

Main Results:

  • TOPS++FATCAT is over an order of magnitude faster than the original FATCAT algorithm.
  • Achieved minimal cost in classification and alignment accuracy compared to FATCAT.
  • Demonstrated improved accuracy for beta-rich proteins due to enhanced modeling of beta-strand interactions.
  • Identified and linked rare errors to oversimplified TOPS diagrams, suggesting avenues for refinement.

Conclusions:

  • TOPS++FATCAT provides accuracy comparable to FATCAT with significantly improved speed.
  • Offers insights into protein structural changes at speeds rivaling sequence alignments.
  • Enables interactive protein structure similarity searches, advancing the field of structural bioinformatics.