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Updated: Mar 28, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Contingency Table Browser - prediction of early stage protein structure
Barbara Kalinowska1, Artur Krzykalski2, Irena Roterman3
1Department of Bioinformatics and Telemedicine, Collegium Medium, Jagiellonian University, Lazarza 16, 31-530 Krakow, Poland ; Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, 30-348, Łojasiewicza 11, Krakow, Poland.
The Fuzzy Oil Drop (FOD) model
Area of Science:
- Computational biology
- Protein structure prediction
- Bioinformatics
Background:
- Protein folding simulations rely on accurate early stage (ES) intermediates.
- The Fuzzy Oil Drop (FOD) model's predictive accuracy depends on the chosen intermediate.
- Contingency tables, detailing tetrapeptide fragment structural likelihoods, inform intermediate construction.
Purpose of the Study:
- To address limitations in predicting structures from contingency tables.
- To develop and present the Contingency Table Browser tool.
- To showcase applications of the tool for analyzing protein sequence structural ambiguity.
Main Methods:
- Developed the Contingency Table Browser tool.
- Utilized sequence-structure relationship data.
- Applied the tool to analyze specific protein sequences.
Main Results:
- The Contingency Table Browser enables visualization, searching, and analysis of contingency tables.
- Demonstrated the tool's utility in assessing structural ambiguity in protein sequences.
- Provided a method for more in-depth study of contingency tables.
Conclusions:
- The Contingency Table Browser enhances the accuracy of protein folding simulations.
- The tool offers novel insights into protein sequence structural properties.
- Improved analysis of contingency tables leads to better understanding of protein folding.
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