A web-based tool that provides a versatile analysis and visualization of pairwise coevolution of amino acid residues. CoeViz computes three covariance metrics: mutual information, chi-square statistic, Pearson correlation, and one conservation metric: joint Shannon entropy. Implemented adjustments of covariance scores include phylogeny correction, corrections for sequence dissimilarity and alignment gaps, and the average product correction. Visualization of residue relationships is enhanced by hierarchical cluster trees, heat maps, circular diagrams, and the residue highlighting in protein sequence and 3D structure. Unlike other existing tools, CoeViz is not limited to analyzing conserved domains or protein families and can process long, unstructured and multi-domain proteins thousands of residues long.
Department of Electrical Engineering and Computing Systems, University of Cincinnati, OH, USA; Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, OH, USA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, OH, USA
CoeViz funding source(s)
This work was supported in part by the National Institutes of Health (NIH 8UL1TR000077-05) award.