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Updated: Aug 12, 2025
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An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
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Using evolutionary data to make sense of macromolecules with a "face-lifted" ConSurf
Barak Yariv1, Elon Yariv1, Amit Kessel1
1George S. Wise Faculty of Life Sciences, Department of Biochemistry and Molecular Biology, Tel Aviv University, Tel Aviv, Israel.
Protein Science : a Publication of the Protein Society
|January 31, 2023
Summary
ConSurf is a web server that analyzes evolutionary rates in proteins, RNA, and DNA to identify critical functional regions. Recent upgrades enhance usability and integrate AlphaFold structures for deeper insights into macromolecular function.
Area of Science:
- Bioinformatics
- Computational Biology
- Molecular Evolution
Background:
- ConSurf is a web server for analyzing evolutionary rates across homologous sequences.
- Identifying functionally important regions, like catalytic sites, is crucial for understanding protein function.
- Previous versions of ConSurf have been instrumental in this analysis.
Purpose of the Study:
- To report on significant improvements and new features of the ConSurf web server since its last update in 2016.
- To enhance the user-friendliness and analytical capabilities for studying evolutionary patterns in biological macromolecules.
- To highlight the integration of new tools and structural data for more insightful analyses.
Main Methods:
- Utilizing hidden Markov model-based search tools to collect homologous sequences.
- Implementing a Python re-implementation of the computational pipeline for improved maintainability and a standalone version.
- Integrating AlphaFold model structures for proteins, accessible via UniProt ID, to map evolutionary rates onto 3D structures.
Main Results:
- ConSurf now features a user-friendly interface for easier analysis and result visualization.
- The pipeline effectively assembles representative homologous sets for proteins and nucleic acids.
- Evolutionary rates can now be readily mapped onto available AlphaFold structures, enhancing structural-functional insights.
Conclusions:
- The updated ConSurf server provides a powerful and accessible tool for analyzing evolutionary rates in proteins, RNA, and DNA.
- The integration of AlphaFold structures significantly increases the relevance and utility of ConSurf for the research community.
- The standalone Python pipeline facilitates broader adoption and further development of ConSurf's capabilities.
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