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Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
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hoDCA: higher order direct-coupling analysis.

Michael Schmidt1, Kay Hamacher2,3,4

  • 1Department of Physics, TU Darmstadt, Karolinenpl. 5, Darmstadt, 64287, Germany. schmidt@cbs.tu-darmstadt.de.

BMC Bioinformatics
|December 31, 2018
PubMed
Summary
This summary is machine-generated.

Direct-coupling analysis (DCA) methods for protein contact prediction are enhanced by including three-body correlations. The new hoDCA software improves accuracy and speed for large-scale applications.

Keywords:
Contact predictionDCAProteins

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Protein Structure Prediction

Background:

  • Direct-coupling analysis (DCA) predicts protein contacts from sequence data.
  • DCA models interactions using one- and two-point terms from maximum entropy models.
  • Large sequence databases now allow for higher-order correlation inclusion.

Purpose of the Study:

  • To implement and evaluate hoDCA, an extension of DCA incorporating three-body interactions.
  • To assess the impact of three-body correlations on protein contact prediction accuracy.
  • To develop a computationally efficient tool for large-scale bioinformatics analyses.

Main Methods:

  • Extended Direct-Coupling Analysis (DCA) to include three-body interactions.
  • Formulated the problem as an inverse Ising problem for parameter estimation.
  • Developed a parallelized implementation of hoDCA for fast execution.

Main Results:

  • The hoDCA implementation successfully incorporates three-body interactions.
  • Three-body interactions demonstrated improved contact prediction accuracy on the PSICOV benchmark.
  • The parallelized implementation ensures fast runtimes suitable for large datasets.

Conclusions:

  • The hoDCA software provides enhanced protein contact prediction accuracy.
  • Leverages multi-core processing for automated and efficient analysis.
  • Offers a valuable tool for computational biology and protein structure research.