Prediction of lysine post-translational modifications using bioinformatic tools

Daniel Schwartz1

  • 1Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT 06269-3156, U.S.A. daniel.schwartz@uconn.edu

Summary

Many lysine post-translational modification prediction tools fail to perform reliably. Researchers should critically evaluate these computational tools, as most do not outperform random chance in identifying acetylation, methylation, SUMOylation, and ubiquitination sites.

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