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Related Experiment Video

Updated: May 12, 2026

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

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

A benchmark server using high resolution protein structure data, and benchmark results for membrane helix

Emma M Rath1, Dominique Tessier, Alexander A Campbell

  • 1Group in Biomolecular Structure and Informatics, Faculty of Pharmacy, The University of Sydney, Darlinghurst, Sydney NSW 2006, Australia.

BMC Bioinformatics
|March 28, 2013
PubMed
Summary

A new benchmark tool evaluates helical membrane protein prediction methods using up-to-date structural data. OCTOPUS performs consistently well, and the server aids researchers in selecting optimal prediction tools for various applications.

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Last Updated: May 12, 2026

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Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering

Published on: November 5, 2018

Area of Science:

  • Biochemistry and Molecular Biology
  • Bioinformatics
  • Structural Biology

Background:

  • Helical membrane proteins are crucial for cellular functions and environmental interactions.
  • Accurate prediction of membrane helix location aids in understanding protein structure, function, and identifying new membrane proteins.
  • Existing benchmark tools are outdated and lack comprehensive comparisons of prediction methods, especially for specific protein subtypes.

Purpose of the Study:

  • To develop a comprehensive benchmark tool for evaluating helical membrane protein prediction methods.
  • To provide an up-to-date assessment of existing prediction tools using recent structural data.
  • To enable comparison of novel prediction methods against established ones.

Main Methods:

  • Developed a benchmark server utilizing high-resolution protein structural data.
  • Implemented various benchmark metrics including sensitivity and specificity for location and orientation.
  • Enabled customized evaluations for specific helical membrane protein subtypes.

Main Results:

  • The benchmark server provides a comprehensive assessment of existing membrane helix prediction methods.
  • Performance of prediction methods varies depending on the benchmark metric used.
  • The OCTOPUS method demonstrated consistently high performance across multiple benchmark measures.

Conclusions:

  • The benchmark server facilitates both general and specialized assessments of membrane helix prediction methods.
  • Researchers can use the server to identify the most suitable prediction method for their specific needs.
  • The tool will be valuable for extracting detailed information from large protein sequence databases.