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Related Concept Videos

Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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An interactive visualization tool for educational outreach in protein contact map overlap analysis.

Kevan Baker1, Nathaniel Hughes2, Sutanu Bhattacharya2

  • 1Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, United States.

Frontiers in Bioinformatics
|April 2, 2024
PubMed
Summary

GoFold is a new, user-friendly software tool that helps beginners predict protein 3D structures using contact map overlap (CMO). It offers superior performance and educational value, making complex protein structure prediction accessible for citizen science.

Keywords:
contact mapcontact map overlapprotein structureprotein structure predictiontemplate based modeling

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Bioinformatics Software Development

Background:

  • Deep learning has advanced protein 3D structure prediction using contact maps.
  • A lack of accessible tools hinders novice engagement in this field.
  • Existing software often requires advanced knowledge or is research-oriented.

Purpose of the Study:

  • Introduce GoFold, a standalone graphical user interface (GUI) for beginners.
  • Simplify the contact map overlap (CMO) problem for improved template selection.
  • Provide an educational platform for learning protein structure prediction.

Main Methods:

  • Developed a user-friendly GUI with comprehensive tutorials.
  • Implemented visualization of the CMO problem for intuitive understanding.
  • Benchmarked GoFold against map_align using PSICOV and CAMEO datasets.

Main Results:

  • GoFold demonstrated superior performance in TM-score and Z-score metrics.
  • The tool effectively handles diverse contact map qualities and target difficulties.
  • GoFold runs efficiently on personal computers without external dependencies.

Conclusions:

  • GoFold democratizes protein structure prediction for novices and citizen science.
  • The software enhances educational accessibility in computational biology.
  • GoFold is freely available for macOS, Linux, and Windows.