How molecular modelling can better broaden the understanding of glycosylations

Rajas M Rao; Manuel Dauchez; Stéphanie Baud

doi:10.1016/j.sbi.2022.102393

How molecular modelling can better broaden the understanding of glycosylations

Curr Opin Struct Biol. 2022 Aug:75:102393. doi: 10.1016/j.sbi.2022.102393. Epub 2022 Jun 6.

Authors

Rajas M Rao¹, Manuel Dauchez², Stéphanie Baud¹

Affiliations

¹ Université de Reims Champagne Ardenne, CNRS UMR 7369, MEDyC, Reims, 51687, France.
² Université de Reims Champagne Ardenne, CNRS UMR 7369, MEDyC, Reims, 51687, France. Electronic address: manuel.dauchez@univ-reims.fr.

PMID: 35679802
DOI: 10.1016/j.sbi.2022.102393

Abstract

Glycosylations are among the most ubiquitous post-translational modifications (PTMs) in proteins, and the effects of their perturbations are seen in various diseases such as cancers, diabetes and arthritis to name a few. Yet they remain one of the most enigmatic aspects of protein structure and function. On the other hand, molecular modelling techniques have been rapidly bridging this knowledge gap since the last decade. In this review, we discuss how these techniques have proven to be indispensable for a better understanding of the role of glycosylations in glycoprotein structure and function.

Publication types

Review
Research Support, Non-U.S. Gov't

MeSH terms

Glycosylation
Models, Molecular
Protein Processing, Post-Translational*
Proteins*

Substances

Proteins