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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
Analysis of protein sheet topologies by graph theoretical methods
1Gesselschaft für Mathematik und Datenverarbeitung mbH, Institut für Methodische Grundlagen, Schloss, Birlinghoven, Sankt Augustin, Federal Republic of Germany.
Proteins
|April 1, 1992
Summary
Applied graph theory to protein secondary structure prediction, defining beta graphs to analyze sheet topology. This enables efficient comparison and retrieval of protein beta sheet structures.
Area of Science:
- Structural bioinformatics
- Computational biology
- Protein structure analysis
Background:
- Secondary structure prediction is crucial for understanding protein function.
- Long-range interactions in sheet structures are complex to model.
- Existing methods may not fully capture topological relationships.
Purpose of the Study:
- To develop a method for describing and analyzing protein beta sheet topology.
- To identify rules governing long-range interactions in sheet structures.
- To facilitate efficient comparison and retrieval of protein beta sheet data.
Main Methods:
- Applied graph theory to define 'beta graphs' representing sheet topology.
- Analyzed beta sheet topology for proteins in the Brookhaven Data Bank.
- Developed notations and graphic representations for sequential and topological neighborhoods.
Main Results:
- Defined beta graphs for proteins with beta sheets, enabling topological comparison.
- Derived four notations and graphic representations for sheet structures.
- Implemented a computer program for data retrieval and beta structure analysis.
Conclusions:
- Graph theory provides an effective framework for analyzing protein beta sheet topology.
- The developed methods and program enhance the study and comparison of protein structures.
- This approach supports efficient algorithms for secondary structure prediction and analysis.
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