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RocaSec: a standalone GUI-based package for robust co-evolutionary analysis of proteins
Ahmed A Quadeer1, David Morales-Jimenez2, Matthew R McKay1,3
1Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
Bioinformatics (Oxford, England)
|December 5, 2019
Summary
Robust Co-evolutionary Analysis (RoCA) predicts protein co-evolutionary sectors linked to function. A new package, RocaSec, offers a user-friendly GUI for easy application to protein sequence data.
Area of Science:
- Computational Biology
- Bioinformatics
- Protein Science
Background:
- Mutational correlation patterns in protein sequences reveal co-evolutionary sectors.
- These sectors are linked to protein function and structure.
- Robust Co-evolutionary Analysis (RoCA) is a statistical method for predicting these sectors, validated on viral proteins.
Purpose of the Study:
- To introduce RocaSec, a standalone, cross-platform software package with a graphical user interface (GUI).
- To simplify and broaden the application of RoCA for inferring protein co-evolutionary sectors.
- To enable the analysis of statistical associations between inferred sectors and known biochemical domains.
Main Methods:
- Development of a user-friendly GUI for the RoCA method.
- The software requires only a multiple sequence alignment of a protein as input.
- Optional input of protein biochemical domain information to correlate with inferred sectors.
Main Results:
- RocaSec provides a streamlined approach to infer co-evolutionary sectors from protein sequence data.
- The software demonstrates ease of use and cross-platform compatibility.
- It facilitates the statistical association of predicted sectors with known protein biochemical domains.
Conclusions:
- RocaSec enhances the accessibility and application of co-evolutionary analysis in protein research.
- The tool aids in understanding protein structure-function relationships by linking sequence-derived sectors to biochemical domains.
- Widespread adoption of RocaSec is expected to advance the study of protein evolution and function.