visualCMAT

A web-server to select and interpret
correlated mutations/co-evolving residues in protein families



Have a protein family? ...





... to predict and visualize
correlated mutations/co-evolving residues
in protein structures



Version 1.0; August 4th 2017




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  • The visualCMAT web-service was designed to facilitate scientific research in the fields of protein/enzyme biochemistry, protein engineering, and drug discovery by providing an intuitive and easy-to-implement interface to the correlated mutations analysis for common use in the laboratory practice;

  • The visualCMAT web-service can be used to identify co-evolution patterns in superfamilies, understand the relationship between structure and function in proteins, implemented at selecting hotspots and compensatory mutations for rational design and directed evolution experiments to produce novel enzymes with improved properties, and employed at studying the mechanism of selective ligand's binding and allosteric communication between topologically independent sites in protein structures;

  • The input multiple alignment of a diverse set of related proteins can be automatically constructed by the sister web-service Mustguseal using all available information about their structures and sequences in public databases, and then directly submitted to the visualCMAT web-service in one click. Large structure-guided sequence alignments of functionally diverse families that include thousands of proteins can be automatically constructed using that public web-service;

  • Alternatively, you can manually submit a multiple protein alignment in FASTA format and a representative protein structure in PDB format to the visualCMAT server. Multiple alignments of thousands of proteins can be handled by this server;

  • The visualCMAT server will automatically predict correlated substitutions in protein structures, classify them into networks of interacting residues and long-range correlations, predict and rank binding sites on the protein surface by the presence of statistically significant co-evolving positions;

  • All steps of the visualCMAT server protocol are executed entirely on the server side using a combination of bioinformatic methods for sequence and structure analysis. You do not need any specific software on your side;

  • The results of the visualCMAT are convenient for visual expert analysis and can be downloaded to a local computer as a single all-in-one PyMol session file with multiple layers of annotation corresponding to bioinformatic, statistical and structural analyzes of the predicted co-evolution, or operated on-line using the built-in interactive analysis tools. Interactivity is implemented in HTML5 and therefore no plugins nor Java are required;

  • Press the Run visualCMAT on-line button and then press the Demo mode button to request a demonstration of the visualCMAT server.





Contacts and support

Yana Sharapova






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