Article Synopsis

  • Despite advancements in structural biology, understanding glycan structures on proteins is still difficult.
  • GlycoShape is an open-access database and toolbox that allows users to quickly restore glycoproteins to their functional forms, currently featuring over 500 unique glycan structures.
  • The tool utilizes a robust algorithm, Re-Glyco, to connect glycans with proteins, showing a high accuracy of 93% in predicting N-glycosylation occupancy based on existing protein data.

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Article Abstract

Despite ground-breaking innovations in experimental structural biology and protein structure prediction techniques, capturing the structure of the glycans that functionalize proteins remains a challenge. Here we introduce GlycoShape ( https://glycoshape.org ), an open-access glycan structure database and toolbox designed to restore glycoproteins to their native and functional form in seconds. The GlycoShape database counts over 500 unique glycans so far, covering the human glycome and augmented by elements from a wide range of organisms, obtained from 1 ms of cumulative sampling from molecular dynamics simulations. These structures can be linked to proteins with a robust algorithm named Re-Glyco, directly compatible with structural data in open-access repositories, such as the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) and AlphaFold Protein Structure Database, or own. The quality, performance and broad applicability of GlycoShape is demonstrated by its ability to predict N-glycosylation occupancy, scoring a 93% agreement with experiment, based on screening all proteins in the PDB with a corresponding glycoproteomics profile, for a total of 4,259 N-glycosylation sequons.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11541215PMC
http://dx.doi.org/10.1038/s41592-024-02464-7DOI Listing

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