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The program Proteocat as a tool for planning of proteomic experiments

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Abstract

ProteoCat is a computer program that has been designed to help researchers in the planning of large-scale proteomic experiments. The central part of this program is the unit of hydrolysis simulation that supports 4 proteases (trypsin, lysine C, endoproteinases Asp-N and GluC). For peptides obtained after virtual hydrolysis or loaded from data files a number of properties important in mass-spectrometric experiments can be calculated and predicted; the resultant data can be analyzed or filtered (to reduce a set of peptides). The program is using new and improved modifications of own earlier developed methods for pI prediction, which can be also predicted by means of popular pKa scales proposed by other reseachers. The algorithm for prediction of peptide retention time has been realized similarly to the algorithm used in the SSRCalc program. Using ProteoCat it is possible to estimate the coverage of amino acid sequences of analyzed proteins under defined limitation on peptides detection, as well as the possibility of assembly of peptide fragments with user-defined minimal sizes of “sticky” ends. The program has a graphical user interface, written on JAVA and available at http://www.ibmc.msk.ru/LPCIT/ProteoCat.

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References

  1. Picotti, P. and Aebersold, R., Nature Methods, 2012, vol. 9, no. 6, pp. 555–566.

    Article  CAS  Google Scholar 

  2. Li, Y.F., Arnold, R.J., Tang, H., and Radivojac, P., J. Proteome Res., 2010, vol. 9, no. 12, pp. 6288–6297.

    Article  CAS  Google Scholar 

  3. Tang. H., Arnold. R.J., Alves. P., Xun. Z., Clemmer, D.E., Novotny, M.V., Reilly, J.P., and Radivojac, P., Bioinformatics, 2006, vol. 22, no. 14, pp. e481-e488.

    Article  CAS  Google Scholar 

  4. Swaney, D.L., Wenger, C.D., and Coon, J.J., J. Proteome Res., 2010, vol. 9, no. 3, pp. 1323–1329.

    Article  CAS  Google Scholar 

  5. Mazzucchelli, G., Zimmerman, T., Smargiasso, N., Baiwir, D., Meuwis, M.A., and De Pauw, E., in 63rd ASMS Conference on Mass Spectrometry & Allied Topics, 2015, http://hdl.handle.net/2268/182843

    Google Scholar 

  6. Skvortsov, V.S., Alekseitchuk, N.N., Khudyakov, D.V., and Romero Reyes, I.V., Biomed. Khim., 2015, vol. 61, no. 1, pp. 83–91.

    Article  CAS  Google Scholar 

  7. Bjellqvist, B., Hughes, G.J., Pasquali, Ch., Paquet, N., Ravier, F., Sanchez, J.-Ch., Frutiger, S., and Hochstrasser, D.F., Electrophoresis, 1993, vol. 14, pp. 1023–1031.

    Article  CAS  Google Scholar 

  8. Branca, R.M., Orre, L.M., Johansson, H.J., Granholm, V., Huss, M., Pérez-Bercoff, A., et al., Nature Methods, 2014, vol. 11, no. 1, pp. 59–62.

    Article  CAS  Google Scholar 

  9. Heller, M., Ye, M., Michel, P.E., Morier, P., Stalder, D., Jünger, M.A., et al., J. Proteome Res., 2005, vol. 4, no. 6, pp. 2273–2282.

    Article  CAS  Google Scholar 

  10. Krokhin, O.V., Analytical Chemistry, 2006, vol. 78, no. 22, pp. 7785–7795.

    Article  CAS  Google Scholar 

  11. Rybina, A.V., Skvortsov, V.S., Kopylov, A.T., and Zgoda, V.G., Biomed. Khim., 2014, vol. 60, no. 6, pp. 707–712.

    Article  CAS  Google Scholar 

  12. Handbook of Proteolytic Enzymes, Barrett, A.J., Woessner, J.F., and Rawlings, N.D., Eds., Elsevier, 2012, vol. 1.

Download references

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Correspondence to V. S. Skvortsov.

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Original Russian Text © V.S. Skvortsov, N.N. Alekseychuk, D.V. Khudyakov, A.V. Mikurova, A.V. Rybina, S.E. Novikova, O.V. Tikhonova, 2016, published in Biomeditsinskaya Khimiya.

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Skvortsov, V.S., Alekseychuk, N.N., Khudyakov, D.V. et al. The program Proteocat as a tool for planning of proteomic experiments. Biochem. Moscow Suppl. Ser. B 10, 220–226 (2016). https://doi.org/10.1134/S1990750816030148

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  • DOI: https://doi.org/10.1134/S1990750816030148

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