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Lichtarge Computational Biology Lab

Houston, Texas

Lichtarge Computational Biology Lab
Lichtarge Computational Biology Lab
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Universal Evolutionary Trace

The structure and function of proteins underlie most aspects of biology and their mutational perturbations often cause disease. A central question is which protein residue positions are important and cluster to form functional sites.

As a solution to this question, the Evolutionary Trace (ET) computes the relative rank of functional and structural importance among protein homologs sequence positions. The rank is lower if sequence positions vary among evolutionarily closer homologs and higher if the positions vary among evolutionarily distant homologs. Thus, ET uses evolutionary distances as a proxy for functional distances to correlate genotype variations with phenotype, or fitness, variations. This approach identifies functional determinants, predicts function, guides the mutational redesign of functional and allosteric specificity, and interprets the action of coding sequence variations in proteins, people, and populations.

The UET (Universal Evolutionary Trace) database offers pre-computed ET analyses for the protein structure databank, and on-the-fly analysis of any UNIPROT or amino acid sequence in FASTA format. Additionally, ET results map to a structure through a JSmol display to identify functionally important regions.

Step 1: Select the type of input you are providing.

You have a:
PDB ID and chain identifier (e.g. 2qrvA. View example)
Upload custom protein structure in PDB file format
UniProt accession number (if you do not have a PDB structure)
Amino acid sequence in FASTA format (View example input)



Not sure how to use this service? Watch these videos or view publication.

You may upload your own multiple sequence alignment using the Advanced Options section in the next step(s).

Important note: The services and data in this website are intended for research purposes only, not for clinical and diagnostic use.

Questions? Contact us.