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Related Experiment Video

Updated: Mar 21, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules.

Haim Ashkenazy¹, Shiran Abadi², Eric Martz³

¹Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.

Nucleic Acids Research

|May 12, 2016

Summary

This summary is machine-generated.

The ConSurf web server analyzes evolutionary patterns in biological molecules to identify critical regions for structure and function. New features enhance its ability to model proteins and predict RNA structures, improving evolutionary rate analysis.

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Published on: July 14, 2015

Area of Science:

Bioinformatics
Computational Biology
Evolutionary Biology

Background:

Evolutionary conservation of amino acids and nucleic acids balances mutation rates with structural and functional requirements.
The ConSurf web server has been a valuable tool for over 15 years, analyzing evolutionary patterns to identify functionally important regions in macromolecules.

Purpose of the Study:

To introduce significant new features and improvements to the ConSurf web server.
To enhance the analysis of evolutionary conservation for proteins and nucleic acids.
To provide more comprehensive insights into macromolecular structure and function.

Main Methods:

Automatic collection of homologous sequences and inference of multiple sequence alignments.
Reconstruction of phylogenetic trees to reflect evolutionary relationships.
Probabilistic framework for estimating evolutionary rates at each sequence position.
Implementation of new features including automatic evolutionary model selection, homology modeling, RNA secondary structure prediction, biological assembly visualization, and advanced phylogenetic tree viewing.

Main Results:

The updated ConSurf server offers automatic selection of optimal evolutionary models for rate inference.
Enables homology modeling for query proteins and prediction of secondary structures for RNA molecules.
Provides visualization of biological assemblies and mapping of conservation grades onto 2D RNA models.
Introduces an advanced phylogenetic tree viewer for interactive analysis.

Conclusions:

The enhanced ConSurf web server provides a more powerful and versatile platform for analyzing evolutionary conservation.
New features facilitate a deeper understanding of structure-function relationships in proteins and RNA.
The tool aids researchers in identifying functionally important sites within macromolecules.