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Towards optimal views of proteins
Oscar Sverud1, Robert M MacCallum
1Stockholm Bioinformatics Center, Stockholm University, Sweden.
Bioinformatics (Oxford, England)
|May 2, 2003
Summary
This study introduces the One View Of Protein (OVOP) algorithm, which automatically generates informative protein domain views. OVOP significantly improves protein structure visualization compared to default or random representations.
Area of Science:
- Structural Biology
- Bioinformatics
- Computational Biology
Background:
- Standard protein representations in databases often lack clarity regarding structure and function.
- Default views are typically orthogonal to the Protein Data Bank (PDB) file coordinate system.
- Improved visualization is crucial for understanding protein domains.
Purpose of the Study:
- To develop an automated algorithm for generating informative protein domain views.
- To enhance the representation of protein structural features.
- To provide a better understanding of protein structure and function through visualization.
Main Methods:
- Utilized dimension reduction preserving topology via Kohonen's self-organizing map (SOM).
- Mapped 3D alpha-carbon coordinates to a 2D representation.
- Rotated protein structures to align with the optimal 2D projection, termed OVOP (One View Of Protein).
Main Results:
- The OVOP algorithm was developed and tested.
- A public, blind trial compared OVOP views against random and 'flattest' views.
- Volunteers consistently rated OVOP-generated views as superior.
Conclusions:
- The OVOP algorithm provides significantly better protein domain views than existing methods.
- Automated generation of informative protein visualizations is achievable.
- OVOP enhances the interpretation of protein structure and function.