Algorithms from the Nesvizhskii and Smith groups facilitate faster and more comprehensive glycopeptide assignments from mass spectrometry datasets.
References
Lu, L., Riley, N. M., Shortreed, M. R., Bertozzi, C. R. & Smith, L. M. Nat. Methods https://doi.org/10.1038/s41592-020-00985-5 (2020).
Polasky, D., Yu, F., Teo, G. C & Nesvizhskii, A. I. Nat. Methods https://doi.org/10.1038/s41592-020-0967-9 (2020).
Watanabe, Y., Bowden, T. A., Wilson, I. A. & Crispin, M. Biochim. Biophys. Acta Gen. Subj. 1863, 1480–1497 (2019).
Jennewein, M. F. & Alter, G. Trends Immunol. 38, 358–372 (2017).
Pinho, S. S. & Reis, C. A. Nat. Rev. Cancer 15, 540–555 (2015).
Yang, Y., Franc, V. & Heck, A. J. R. Trends Biotechnol. 35, 598–609 (2017).
Kong, A. T., Leprevost, F. V., Avtonomov, D. M., Mellacheruvu, D. & Nesvizhskii, A. I. Nat. Methods 14, 513–520 (2017).
Park, J. et al. Nat. Methods 14, 909–914 (2017).
Roushan, A. et al. Mol. Cell. Proteomics https://doi.org/10.1074/mcp.RA120.002260 (2020).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Praissman, J.L., Wells, L. Getting more for less: new software solutions for glycoproteomics. Nat Methods 17, 1081–1082 (2020). https://doi.org/10.1038/s41592-020-00987-3
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41592-020-00987-3
- Springer Nature America, Inc.
This article is cited by
-
pGlycoQuant with a deep residual network for quantitative glycoproteomics at intact glycopeptide level
Nature Communications (2022)
-
Precise, fast and comprehensive analysis of intact glycopeptides and modified glycans with pGlyco3
Nature Methods (2021)