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Related Concept Videos

Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Related Experiment Video

Updated: Jun 14, 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

Predicting transmembrane helix packing arrangements using residue contacts and a force-directed algorithm.

Timothy Nugent1, David T Jones

  • 1Bioinformatics Group, Department of Computer Science, University College London, London, United Kingdom.

Plos Computational Biology
|March 25, 2010
PubMed
Summary

Researchers developed a new method to predict transmembrane protein structure, focusing on helical packing. This approach accurately models helix interactions and arrangements, aiding in understanding these vital cell proteins.

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Last Updated: Jun 14, 2026

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Alpha-helical transmembrane proteins are crucial for cellular functions.
  • Predicting protein topology is established, but helical packing remains a challenge.

Purpose of the Study:

  • To develop a novel computational method for predicting transmembrane protein helical packing.
  • To accurately model lipid exposure, residue contacts, and helix-helix interactions.

Main Methods:

  • Utilized molecular dynamics data to train support vector machine (SVM) classifiers.
  • Developed a two-stage SVM approach for predicting lipid exposure and residue contacts.
  • Employed a force-directed algorithm for constructing optimal helical packing arrangements.

Main Results:

  • Achieved 69% accuracy in predicting per-residue lipid exposure.
  • Predicted helix-helix interactions with up to 65% accuracy.
  • Discriminated native from decoy helical packing with up to 70% accuracy.
  • Successfully modeled proteins with up to 13 transmembrane helices.

Conclusions:

  • The novel method accurately predicts key features of transmembrane protein structure.
  • This approach advances the understanding of helical packing in membrane proteins.
  • The developed software is freely available for research use.