Open-access Mustguseal platform for bioinformatic analysis in computational enzymology

Comparative analysis of homologous proteins in a functionally diverse superfamily is a valuable tool at studying structure-­function relationship, but represents a methodological challenge. We have developed an open-­access platform uniting original on-line methods to study the structure-­function relationship in proteins, to select the most promising hot-­spots for implementation of novel functions, improvement of stability and evolvability of useful proteins/enzymes, and to design of their selective modulators.

  • The key Mustguseal web-­server can automatically collect and align thousands of homologous protein sequences and structures;
    Bioinformatics, 2018, DOI:10.1093/bioinformatics/btx831

    Four sister web-­methods are available for subsequent bioinformatic analysis of the collected data:

  • the Zebra web-server to identify and prioritize conserved and specific positions in a functionally diverse superfamily and to select hot-spots for rational design of the query protein;
    Nucleic Acids Res., 2020, DOI:10.1093/nar/gkaa276

  • the pocketZebra web-server to identify and rank binding sites in proteins by their functional significance and to select particular positions in the structure important for selective binding of substrates/inhibitors/effectors;
    Nucleic Acids Res., 2014, DOI:10.1093/nar/gku448

  • the visualCMAT web-server to select and interpret correlated mutations/co-­evolving residues in protein structures;
    J Bioinform Comput Biol., 2018, DOI:10.1142/S021972001840005X

  • the Yosshi web­-server to classify and study disulfide bonds in protein families as well as to select hot­-spots for disulfide engineering.
    Nucleic Acids Res., 2019, DOI:10.1093/nar/gkz385

Integration of these bioinformatic web-tools provides an out-­of­-the­box easy­-to-­use solution, first of its kind, to systematically analyze all the available sequence and structural data related to a protein superfamily, thus promoting the value of bioinformatics for protein engineering and drug discovery.

Press the button to ask a question about using these servers

New! Practical guide: Suplatov D., Sharapova Y., Švedas V. (2021) Mustguseal and Sister Web-Methods: A Practical Guide to Bioinformatic Analysis of Protein Superfamilies. In: Katoh K. (eds) Multiple Sequence Alignment. Methods in Molecular Biology, vol 2231. Humana, New York, NY. DOI: 10.1007/978-1-0716-1036-7_12.

FEBS 2019 Congress Poster: D. Suplatov, Y. Sharapova, D. Timonina, E. Schmalhausen, K. Fesko, N. Popova, V. Muronets, V. Voevodin, V. Švedas (2019) Open­access Mustguseal platform for bioinformatic analysis in computational enzymology. FEBS Congress 2019, poster: [download]

FEBS 2019 Congress Talk: Sharapova Y., Suplatov D., Timonina D., Schmalhausen E., Fesko K., Muronets V., Voevodin V., Svedas V. (2019) Assessing protein flexibility in computational enzymology: conformational sampling or 3D-motif analysis? FEBS Congress 2019, abstract: [view]

A brief overview of the Mustguseal platform:

Download PDF file (2.3 MB)

This work is being funded by the Russian Foundation for Basic Research [#18-­29-­13060] and carried out using the HPC computing resources at the Lomonosov Moscow State University supported by the project RFMEFI62117X0011.