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GlycoShape

@glycoshape.org
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Glycan 3D database and toolbox for the reconstruction of glycoproteins from the RCSB PDB and EMBL-EBI AlphaFold repositories or own. Find us at glycoshape.org. Curated by head chef @elisafadda.bsky.social and sous chef @ojas-singh.bsky.social

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GlycoShape @glycoshape.org · 25/09/2026
Pls note that from now on, in case you use tools that require access to an extended dataset (Level 2), we ask you to acknowledge our terms and conditions. Level 2 conformers are under CC BY-NC-ND 4.0 See glycoshape.org/licensing for details
Screenshot of the new licensing page, listing all terms and conditions
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GlycoShape @glycoshape.org · 25/09/2026
Refreshed ReGlyco Filter in bioRxiv 🧪(doi.org/10.64898/202...) in view of the upcoming Protein Design Competition on Monday 28/09 🎉🔥 proteinbase.com/competitions... Each week a new target and if it's a glycoprotein, glycoshape.org and ReGlyco Filter can help screen and optimise your binder design
NiV G was the target of the Adaptyv Bio Protein Design Competition 2025. Structure of the Nipah Virus Glycoprotein (NiV-G) homotetramer (aa 92-602) reconstructed from cryo-EM structures (PDB 7TXZ and 7TY0) bound to broadly neutralising antibody nAH1.3 Fabs(Wang et al. 2022) (not shown). Static (single) glycans 3D structures (shown with sticks in blue) were reconstructed with GlycoShape ReGlyco(Ives et al. 2024). The glycoform selection was guided by glycoproteomics analysis(Hawkins et al. 2025). The visible six glycan sites on chains A, B and D are mapped onto the structure, while glycans on chain C are not labelled for clarity
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Elisa Fadda @elisafadda.bsky.social · 16/09/2026
Fantastic opportunity to talk, listen and discuss the future of #glycotime 🧪 with ECRs and PhD students at the upcoming GRS Glycobiology 2027 organised by the über talented @j-a-n-alexander.bsky.social and @lornamilne.bsky.social who put together a sensational programme. Register asap!! ⬇️
GRS flyer with a view of the town of Ventura (CA) from the hills, tree on the right hand side, sea in the distance. Flyer has a blue background
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Elisa Fadda @elisafadda.bsky.social · 14/09/2026
🚨 Want to be part of top #glycotime on the seaside in the California sunshine? Register to the 2027 GRC Glycobiology ⬇️ Stacy and Lance put togteher up one of the most exciting programmes I have ever seen with phenomenal keynotes! We have 32 abstracts to select, so the next speaker could be YOU! 😎
Announcement of the GRC Glycobiology 2027 to be held in Ventura CA on March 14 to 19, 2027. Blue background with an photo of Ventura from the visitventuraca.com
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GlycoShape @glycoshape.org · 04/09/2026
We are presenting today some of these new features at the #ECCB2026 workshop eccb2026.org/communities-... at 11 am CEST, contact @glycoexpasy.bsky.social if you would like to attend 👍🧪 #glycotime
eccb2026.org
Communities day
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GlycoShape @glycoshape.org · 04/09/2026
🚨 New version of GlycoShape is now live at glycoshape.org 🥳 Powered by crabWURCS everything runs on your browser and while you save all you ReGlyco work and go back to it whenever you like 😎 Among other new things: new slick drawer, much easier to use, new slick SNFG representations and new layout
screenshot to represent the new layout of GlycoShape, here the database screen added NEW sticker
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Elisa Fadda @elisafadda.bsky.social · 02/09/2026
I will be in Geneva at #ECCB2026 for a super #glycotime workshop in glyco-bioinformatics hosted by @glycoexpasy.bsky.social to present a hands-on guide to the new layout and features of @glycoshape.org If you want to hear all about it, just sign up! ⬇️ eccb2026.org/communities-... online and free
screenshot of the title slide of my talk showing a graphical representation of a cell surface in brown with glycans added dfrom structures in Glycoshape. the title of the talk reads 3D glyco-bioinformatics with GlycoShape
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Nick Riley @nmriley.bsky.social · 28/08/2026
We then took a deeper dive into our EpCAM data to look at what integrating bottom-up glycopeptide and intact glycoproteoform measurements can get us, and @emmajays.bsky.social helped us use @glycoshape.org to model how a glycoproteoform with two occupied N-glycosites might look like.
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GlycoShape @glycoshape.org · 28/08/2026
Want to know more about #glycotime resources in bioinformatics and/or build some glycoproteins with GlycoShape? Join us online on Sept 4th for fabulous hands-ON workshops organised by @glycoexpasy.bsky.social 😎🥳🧪 Online registration is FREE (Price: 0 CHF) here, eccb2026.org/communities-...
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GlycoShape @glycoshape.org · 17/07/2026
⬇️ #glycotime 🧪
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GlycoShape @glycoshape.org · 17/07/2026
Instead of a thread, we have a blog as a tutorial glycoshape.org/blog For any feedback/questions, please feel free to comment below or to quote, we can see both. Happy reading 😎
screenshot of the E05: entry of the Glycoshape blog (dark green background) titles "The glucoside on the LLO and the OST architecture"
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GlycoShape @glycoshape.org · 17/07/2026
The fully glucosylated LLO structure is the preferred substrate of eukaryotic OST, especially engineered to enhance N-glycosylation efficiency; but how does that work? and why do we need all those glucoses? @beatricetropea.bsky.social answers all these Q in a new preprint ⬇️ doi.org/10.64898/202...
doi.org
How the terminal glucoside of the N-glycan donor affects the catalytic efficiency of the eukaryotic oligosaccharyltransferase
The eukaryotic oligosaccharyltransferase (OST) is the enzyme responsible for initiating N-glycosylation of secreted proteins by transferring a pre-assembled lipid-linked oligosaccharide (LLO) donor to...
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Elisa Fadda @elisafadda.bsky.social · 02/07/2026
As a fun educational/inspirational #glycotime we decided to curate a Blog on glycoshape.org, you can find it under Resources or here glycoshape.org/blog You can *sign up* to get an email when we post a new entry The latest is E04:Let's talk about glycan binding to viral (glyco)proteins 🧪
Figure 1: Left. Structure of the SARS-CoV-2 S (gamma strain ectodomain; PDB 7sbs). Chains are represented in different colours, pink for chain A, grey for chain B and green for chain C, also in the legend at the bottom left corner. Right. Structure of an isolated RBD (grey surface) from the MD trajectory in complex with a GM1 oligosaccharide (C atoms in purple, O in red). The N345 glycan is not shown for clarity. The structures of the GM1 and GM2 oligosaccharides are shown below the RBD structure with SNFG symbols.
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GlycoShape @glycoshape.org · 30/06/2026
link to the paper doi.org/10.1021/acs....
doi.org
Localizing the Glycan Binding Sites of SARS-CoV-2 Receptor-Binding Domain
Mapping the binding sites on viral proteins that interact with host glycans is essential for understanding host–pathogen interactions and guiding therapeutic design. While the SARS-CoV-2 spike (S) protein is known to bind host glycans through its N-terminal domain and receptor-binding domain (RBD), the specific glycan-interacting residues on the RBD remain undefined. Here, we introduce antibody masking-native mass spectrometry (AM-nMS), a spatially resolved assay for mapping glycan-binding sites by combining a panel of nanobodies targeting distinct regions within the RBD with center-of-mass monitoring and catch-and-release strategies. Applied to wild-type (Wuhan-Hu-1) SARS-CoV-2 RBD, AM-nMS reveals distinct yet partially overlapping glycan-binding surfaces. Heparan sulfate (HS) oligosaccharides bind within a shallow groove (encompassing residues 420–430, 441–452, and 490–512), which partially overlaps the receptor-binding motif (RBM). Sialylated glycans, including ganglioside oligosaccharides, engage a distal edge of the RBM (residues 470–486 and 490–512) that includes a portion of HS binding groove. Globoside glycans bind at a third site (residues 513–530 and 441–452) that also partially overlaps with the HS-binding region. These multiple binding sites near the RBM enable the RBD to interact with a wide range of host glycans. Site assignments are supported by library screening across the RBD from several SARS-CoV-2 variants of concern (VOCs), competitive binding nMS, mass photometry and molecular dynamics simulations. This work presents the first experimental residue-level map of glycan engagement by the SARS-CoV-2 RBD and establishes AM-nMS as a broadly applicable strategy for localizing glycan-binding sites on proteins.
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GlycoShape @glycoshape.org · 30/06/2026
Un-crystallisable glyco-complexes anyone? New work led by John Klassen's lab introduces antibody masking-native mass spectrometry (AM-nMS) a spatially resolved assay that allowed us to map glycan binding sites across the SARS-CoV-2 RBD. The results match our MDs! 😜 All details glycoshape.org/blog
screenshot of the E04 new blog entry on https://glycoshape.org/blog titled Let's talk about glycan binding to viral (glyco)proteins
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GlycoShape @glycoshape.org · 19/06/2026
We are planning to host guest posts 🥳 and we will be very happy to receive suggestions for future posts on topics you would like to read our thoughts on. If you do, pls let us know in the comments ⬇️ Thank you 😎 and happy #glycotime! 🧪
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Cat Typing on Laptop
Alt: black cat with white mittens typing on grey laptop
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GlycoShape @glycoshape.org · 19/06/2026
At the bottom of the page you'll also find a subscription option where you can sign up for an email notification when a new post is published 🥳
Screenshot of the bottom of the webpage showing a box where you can put your email to receive notifications when we publish a new blog post
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GlycoShape @glycoshape.org · 19/06/2026
glycoshape.org has now a blog where we discuss (yep you got it) glycans, glycoproteins and fun stuff! Season 1 is out with: Ep01: Why should we care about glycan heterogeneity? Ep02: How can we include glycan heterogeneity in a 3D framework? Ep03: Molecular precision glycoscience: Enter Siglecs
Header of the Blog page on https://glycoshape.org/blog that you can find in the drop-down menu under Resources> Blog
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GlycoShape @glycoshape.org · 09/06/2026
10/10 Thank you so much to John Hintze (1st author) and to Katrine for her patience and perseverance that lead to this fabulous and comprehensive work. We were really fortunate and happy to contribute with some cool molecular-level insight. Feedback/Questions are more than welcome 😎
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The Office: Michael Scott Bows and Says Thank You
Alt: The Office: Michael Scott Bows and Says Thank You
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GlycoShape @glycoshape.org · 09/06/2026
9/10 The presence of sialic acid disrupts the contribution of the glycan to the binding to RAP (b). Interestingly the formation of an intramolecular contact between the core1 and Trp63 during O-glycan maturation could potentially affect its sialylation levels by limiting accessibility to ST3GAL1
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Robert Redford Nodding Meme
Alt: Robert Redford Nodding Meme
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GlycoShape @glycoshape.org · 09/06/2026
8/10 In the absence of a terminal Sia the Gal of core1 engages in an intramolecular interaction with Trp63 of CR6 (pink in Fig.c and insert), which in turns stabilises the direct contact between the linker and the RAP (red)
from Figure 5 in the paper a) NMR-guided docking structure of the complex between CR5-CR6 (pink) and RAP domain1 (red; PDB: 2fyl). b) Representative structure from the MD simulations of the complex CR5-CR6:RAPd1 with a sialylated core1 (mSTa) O-glycan showing that the O-glycan remains disengaged from the CRs and RAPd1 due to steric hindrance. (c) Representative structure from the MD simulations of the complex CR5-CR6:RAPd1 with an unsialylated core1/T O-glycan showing that the O-glycan interacts with Trp63 of CR6. (insert) Alternative view of (c) displaying the hydrogen bond interactions between the core1/T O-glycan with the Glu23 and Glu30 residues of RAPd1.
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GlycoShape @glycoshape.org · 09/06/2026
7/10 But what about the effect of hyposialylation of at C6X(3-5)T*C1 (GALNT11) O-glycans? @silviadandrea.bsky.social ran multiple uncorrelated MD simulations to figure this out using the structure of the RAP/CR5-CR6 complex as a model (PDB 2FYL) with sialylated (and not) core1 at C6-AYP-T-C1
Sequence of the CR5-CR6 double domain with the short C6AYPTC1 linker sequence installed with a core1/T O-glycan with/without sialic acid capping. Intramolecular disulfide bonds are indicated by dashed lines.
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GlycoShape @glycoshape.org · 09/06/2026
6/10 Interestingly the uptake of RAP, A2M, and ApoE ligands were *unchanged* by the O-glycosylation levels of LRP1, suggesting that CRs O-glycosylation modulates selectively LRP1 recognition and linked functions, not all!
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Wow Oh My God: Surprised Reaction
Alt: Wow Oh My God: Surprised Reaction
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GlycoShape @glycoshape.org · 09/06/2026
5/10 SO, does O-glycosylation of CRs influence LRP1 ligand selection and clearance? INDEEDLY it does. O-glycosylation significantly enhances uptake of tau and decreases uptake of Aβ in two cell models, HEK293 and neuroblastoma SH-SY5Y cells ⬇️🤯
Fig. 2. GALNT11 KO reduces tau and enhances Aβ uptake via LRP1.
(A) HEK-WT, HEK-LRP1, and HEK-LRP1ΔT11 cells were cultured overnight in 96-well plates and, the following day, incubated with indicated Alexa or HiLyte Fluor 488–labeled ligands diluted in complete growth medium for 2 hours at 37°C. Cells were then washed, released, and stained with propidium iodide (PI) before flow cytometric analysis. The median 488-A fluorescence intensity (MFI) of the PI-negative population was background subtracted using MFI values from matched cells cultured without ligand and thereafter normalized to the MFI recorded for HEK-LRP1 cells at the highest concentration of ligand used. Unlabeled RAP at 500 nM concentration was used to suppress LRP-mediated endocytosis. Graphs represent the aggregate of three experiments, one for each of the HEK-LRP1Act, HEK-LRP1Rec#1, and HEK-LRP1Rec#2 cell lines (n = 3 independent clones). (B) Similar to above, SH-SY5YWT and SH-SY5YΔT11 cells were cultured in the presence of 488-labeled ligands for 2 hours (tau and RAP) or 8 hours (Aβ1–40 and Aβ1–42) at 37°C before flow cytometric analysis. Each graph represents the aggregate analysis of two experiments comparing SH-SY5YWT to three SH-SY5Y∆T11 clones (n = 3 independent clones). Data are presented as mean ± SD, and the ratio paired t test was used to assess significance (****P < 0.0001, **P < 0.01, and *P < 0.05).
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GlycoShape @glycoshape.org · 09/06/2026
4/10 CRs are O-glycosylated at C6X(3-5)T*C1 by GALNT11, one of 20 GalNAc-transferases that initiate protein GalNAc-type O-glycosylation. O-glycans are present at 13 CR linkers in LRP1 and are hyposialylated
from Figure 4 in the paper, SNFG symbols to represent the O-glycans released from LC-MS glycoprofiling rom two independent batches of purified (F) sLRP1, (G) sLRP1ΔT11
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GlycoShape @glycoshape.org · 09/06/2026
3/10 LRP1 500-kDa soluble subunit (α) has four ligand-binding cysteine-rich complement type repeats (CRs) clusters (I to IV), with 31 CRs in total target different ligands, such as amyloid-β (Aβ), tau, receptor-associated protein (RAP), alpha-2-macroglobulin (A2M), and apolipoprotein E (ApoE)
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The Dude Stirring His Drink
Alt: The Dude Stirring His Drink wondering about how LPR1 can bind so many different ligands!
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GlycoShape @glycoshape.org · 09/06/2026
2/10 Background: LRP1 is a l~600 kDa transmembrane receptor that engages > 50 different ligands for clearance from neuronal and cerebrospinal fluid (CSF). How this broad ligand selection is accomplished and how it leads to different cellular responses is unclear
Schematic representation of full-coding LRP1, illustrating the ligand-binding CR domains (numbered 1 to 31) within clusters I to IV. All adjacent CRs are separated by short linkers and those linker sequences that adhere to the C6X(3-5)TC1 motif have been indicated by horizontal brackets. Linker O-glycans identified by O-glycoproteomic analyses of various mammalian tissues and cell lines of WT and GALNT11−/− genotype are marked by black (GALNT11 specific), gray (predicted GALNT11 specific), or white (unknown specificity) circles.
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GlycoShape @glycoshape.org · 09/06/2026
Next time you hear 'glycans are just a fancy protein decoration' 😱 show them this fabulous work led by Katrine Schjoldager and team at the CGR 🇩🇰 with us 🇬🇧 showing how The ligand preference of LRP1 is regulated by O-glycans Out now www.science.org/doi/10.1126/... 🧵1/10 ⬇️
science.org
The ligand preference of LRP1 is regulated by O-glycans
GALNT11-mediated O-glycans modulate LRP1 uptake of tau and Aβ, unveiling glycan-driven mechanisms in neurodegenerative pathways.
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GlycoShape @glycoshape.org · 05/06/2026
8/8 Last but not least, big thank YOUs to 1) Syma Khalid @sykhalid.bsky.social for inviting us to write this review for the issue she is editing and to 2) the COSB team, especially Andy Deelen, for their patience, help and support with literally everything!
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Cute Penguin Says Thank You
ALT: Cute Penguin Says Thank You
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GlycoShape @glycoshape.org · 05/06/2026
7/8 The reflections and analysis in this review are the product of a lot of conversations and reading through the years, but also of practice by the very talented BIOL6105 students (25/26) who test drove the glycoprotein design protocols for one of their assignments
acknolwdgement text highlighted is to thank the very talented MSci students of BIOL6105 Adv Pharmacology at the University of Southampton who test-drove the glycoprotein design protocol as one of their assignments
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GlycoShape @glycoshape.org · 05/06/2026
6/8 But how can we understand/predict/include glycoheterogeneity in our studies or in the design of glycoprotein biologics? We discuss the hGH design assisted by GlycoShape ⬇️ as an example and recommend the following work when dealing with mucins Chongsaritsinsuk et al, doi.org/10.1038/s414...
Figure 3. (a) Analysis of structures from experiments deposited in the PDB from GlycoNavi (https://glyconavi.org/TCarp/Statistics/) shows that only 6873 proteins contain N-glycans, for a total of 41,951 glycan structures. Of those 51% consist of only one monosaccharide, with less than 2054 structures containing 7 or more monosaccharide units. (b) Qualitative diagram illustrating different dynamic time-scales of biological systems in function of their size. Experiments relevant to structural biology are represented in the graph within their corresponding range of application in space/time. The design of the diagram was inspired by a similar example in Ref. [66] (c) 3D structure of the human growth hormone (hGH) from PDB 1HGU (cyan), with N-glycans at N93, N99, and N104 reconstructed with Re-Glyco Ensemble [67] using 50 frames selected from the MD structural ensemble, rendered with surface and sticks in white. The type of N-glycans are represented by SNFG symbols [41] in 2D and with the corresponding GlyTouCan [42] IDs. (d) An example of the N-glycans repertoire that can be found at highly exposed sites such as N93, N(98)99, N104. The relative populations of the corresponding glycoforms can be determined by glycoproteomics. (e) Relative populations of the N-glycans at different sites introduced by mutagenesis in Ref. [68]. Occupancy is shown in pink and the absence of glycans in grey. The length of the bars correspond to 100%. Glycosylation at positions N98 and N99 is mutually exclusive because of site proximity. (f) Structure of the complex of hGH (cyan) with the hGH receptor (white with transparent surface and cartoons) from PDB 1A22 indicating the surface area where protein–protein interactions occur and that needs to remain unoccupied for function. The orientation of the hGH in 1.c and 1.f is the same. (g) (..)
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GlycoShape @glycoshape.org · 05/06/2026
5/8 On this topic we highly recommend reading the following ** contributions by us and others, Haas et al, doi.org/10.1073/pnas... Debono et al, doi.org/10.1016/j.jb...
doi.org
From sequence to scaffold: Computational design of protein nanoparticle vaccines from AlphaFold2-predicted building blocks | PNAS
Self-assembling protein nanoparticles are being increasingly utilized in the design of next-generation vaccines due to their ability to induce anti...
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GlycoShape @glycoshape.org · 05/06/2026
4/8 Microheterogeneity (a feature not a bug) modulates glycan-dependent structure and function properties with exceptional dynamisms, allowing to tune them as a dial more than a ON/OFF switch, by glycan types conc gradients. This is critical in tuning properties such as immune response
Figure 2. (a) The three main types of human N-glycans are oligomannose, hybrid and complex. Representative structures are shown with 2D SNFG symbols [41] and corresponding GlyTouCan [42] IDs. Arrows indicate multi-step processes (not direct reactions) occurring in the ER (light blue background) and Golgi (light yellow background), involving numerous enzymes. ERMan-1 (UniProt Q9UKM7) and GNT-1 (UniProt P26572) are shown as the enzymes initiating key steps in N-glycan processing. (b) Man9 N-glycan [3] (mannose in green and GlcNAc in blue sticks) at position N234, chain B, of the SARS-Cov-2 S (WHu-1) trapped inside a pocket upon opening of the RBD chain A (yellow surface). The protein structure is shown as a surface, with Chain A in yellow, B in white and C in pink. All other glycans are not shown for clarity. The 3D structure is from a representative frame from an MD simulation, based on PDB 3VYB, [1]. All other glycans are not shown for clarity. (c) Man5 in FcγRIII (PDB 3SGK) at N40 with the α(1–6) arm trapped in a pocket, exposing the α(1–3) arm to the solvent, leading to a local enrichment in hybrid N-glycans. The 3D structure is from a representative frame from an MD simulation, based on PDB 3SGK, [34]. All other glycans are not shown for clarity. (d) MS spectrum of the recombinant CD52-Fc active fraction (black) overlaid with the spectrum of the inactive fraction (red), which is the most abundant by weight. N-glycan compositions are annotated. (e) Top 10 N-glycan compositions with more than 2.5% relative abundance in active fractions, ordered by increasing m/z (M−H). The fraction in blue is the most active and shows a higher content of sialylated epitopes. (f) Proposed structure of the complex between the HMGB1-Box B (cyan cartoons) and the hyperglycosylated CD52 peptide (green cartoons). (..) Panels d–g are adapted from Ref. [43].
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GlycoShape @glycoshape.org · 05/06/2026
3/n On this topic we highly recommend reading the following ** contributions by us and others, Khaleque, Tropea et al, doi.org/10.1101/2025... Bloch et al, doi.org/10.1038/s415...
doi.org
Structure, sequon recognition and mechanism of tryptophan C-mannosyltransferase - Nature Chemical Biology
Tryptophan C-mannosyltransferase (CMT) enzymes append a mannose to the first tryptophan of select sequences, which is important for the trafficking, folding and function of secretory and transmembrane...
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GlycoShape @glycoshape.org · 05/06/2026
2/8 Macroheretogeneity refers to the occupancy of glycan sites. We discuss how the sequence determinants for N-glycosylation, and not other sequon-dependent PTMs, requires ‘beyond the sequon’ regulation of macroheterogeneity for with direct implications into glycoproteins structure and function
Figure 1. Glycan macroheterogeneity is encoded in the protein sequence. (a) Bar graph of the amino acid abundance in eukaryotic proteins from the Swiss-Prot dataset (purple bars; number of proteins: 199,526; number of aa: 88,436,717) and the UniProt50 dataset (blue bars; number of proteins: 26, 204,260; number of aa: 8,800,588,153). (b) Average number of consensus sequon for N-glycosylation (N-x-(S/T)), C-mannosylation (W-xx-W/C), and O-fucosylation (C-xx-(S/T)C and C-xxxx-(S/T)C) found in each protein in the Swiss-Prot dataset (purple bars) and the UniProt50 dataset (blue bars). (c) Close-up view of the binding site of the eukaryotic oligosaccharyltransferase (OST; PDB 8AGC), shown with its surface in yellow, bound to the YJR1_N99 substrate peptide shown in cyan, with the backbone in cartoons and side chains in sticks. The peptide sequence is shown in the bottom-left corner. The structure of the complex is from a representative frame from an MD simulation in Ref. [20]. (d) Close-up view of the binding site of the complex between the C-mannosyltransferase (CMT; PDB 7ZLG), shown with its surface in purple, and a substrate peptide, shown in yellow with the backbone in cartoons and side chains in sticks. The peptide sequence is shown in yellow in the bottom-left corner. Molecular rendering was done with VMD [21] (https://www.ks.uiuc.edu/Research/vmd/), and statistical data visualisation done with seaborn MD, molecular dynamics; VMD, visual molecular dynamics. (https://seaborn.pydata.org/).
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GlycoShape @glycoshape.org · 05/06/2026
Glycoheterogeneity is an aspects of glycobiology that most would class into a category between difficult and intolerable, but @benschulz.bsky.social and us love it! So we wrote a whole review in Current Opinion in Structural Biology on it 🧵1/8 ⬇️ doi.org/10.1016/j.sb...
screenshot of the the title of the review "Heterogeneity of glycoproteins: Why does it matter and how to account for it"
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Elisa Fadda @elisafadda.bsky.social · 03/06/2026
🚨 #glycotime seminar alert! June 22nd, 2026 4pm JST (8am BST) @kiyokof.bsky.social will present the GlyTouCan v.4 in the next GlySpace Alliance Seminar event 🔥 If you use @glycoshape.org, you know already aboutGlyTouCan IDs. Tune in ⬇️ to discover what GlyTouCan can do for your research 🥳
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GlycoShape @glycoshape.org · 02/06/2026
4/4 This work is led by John Klassen and his fabulous group in collaboration with Lara Mahal @glycocode.bsky.social 🥳 and us for the molecular-level insight. As we say, it takes a village to do glycobiology and this one was very exciting, challenging and beautiful! Feedback always welcome 😎
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The Office: Michael Scott Bows and Says Thank You
ALT: The Office: Michael Scott Bows and Says Thank You
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GlycoShape @glycoshape.org · 02/06/2026
3/4 Accordingly the Van’t Hoff analysis shows that this temperature-enhanced cooperativity is predominantly entropy driven, while the overall gain in binding free energy stands regardless of the order in which the monomers are occupied because of the interlocked architecture
KDE analysis of the binding site volumes along the REMD of the CTB5 bound to one GM1 (rest of the monomers are empty) the change in volume of subunit E is similar to A, despite E is empty.
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GlycoShape @glycoshape.org · 02/06/2026
2/4 In this work ⬇️ we used variable temperature native MS in combination with T replica exchange (REMD) to study cholera toxin B subunit pentamer (CTB5) reveal how binding to one monomer (cyan/GM1 yellow) triggers the prestructuring of the next adjacent (purple) doi.org/10.1021/acs....
CTB5 shown in cartoons (PDB 3CHB starting structure). Subunit A is shown in cyan with surface rendering and it bound to a GM1 oligosaccharide (yellow sticks) in the monomer primary binding site. Adjacent counterclockwise is subunit E (cartoons purple) which binding site 'widens' upon biniding of subunit one through contacts with the 'insertion loop', that pulls the framing loop in green in the right-hand panel
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GlycoShape @glycoshape.org · 02/06/2026
Carbohydrate-binding is a small profit affair, so proteins often adopt complex multidomain architectures enabling a mechanism known as 'binding cooperativity', where binding to one monomer contributes to the binding affinity of the whole systems BUT how does it actually work? 🔥 #glycotime 🧵1/4 ⬇️
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Alexis Rose: I Don't Know You Tell Me (Schitt's Creek)
ALT: Alexis Rose: I Don't Know You Tell Me (Schitt's Creek)
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Elisa Fadda @elisafadda.bsky.social · 07/05/2026
A fab, sunshiny week in 🇩🇰! Great #glycotime 🧪 at the CBM16 in Helsingør, with posters Bea: regulation of N-glycosylation by OST (doi.org/10.1101/2025...) Silvia: Siglec-6 high-recision recognition of glycolipids (doi.org/10.1038/s420...) Ojas: de novo binders design (doi.org/10.64898/202...) 🧵⬇️
From the left, Elisa, Ojas, Bea and Silvia. Blue skies above Helsingor, Denmark for the CMB16 Silvia (left) introducing her work on Siglec 6 (https://doi.org/10.1038/s42003-026-09609-8) in a flash talk at CBM16Elisa (small with red jumper in the left corner) presenting GlycoShape in her "work along" part of the talk, with people in the audience rebuilding the glycosylation of IL5 on GlycoShape ReGlyco
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GlycoShape @glycoshape.org · 24/04/2026
Daily job count is quite high these days after the release of our case study 1 week ago and of the ReGlyco de novo Binder Design Filter notebook ⬇️ doi.org/10.64898/202... and res. therein So exciting to see a growing number of researcher including glycosylation in their studies! 🎉 #glycotime 🧪
Bar graph showing the GlycoShape job count x day in April 2026
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GlycoShape @glycoshape.org · 21/04/2026
We are proud to be part of @elixiruknode.org as the @unisouthampton.bsky.social node, and to share our expertise in structural and computational glycoscience 🧪, together with our OA resources thought it. Check out the announcement below for more information ⬇️ 🥳
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GlycoShape @glycoshape.org · 17/04/2026
7/7 All links to ours and others OA resources and data for download are in the manuscript. As usual, any feedback is more than welcome. Happy glycosylating!
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GlycoShape @glycoshape.org · 17/04/2026
6/7 We made a colab notebook demo where users can design ‘mini binders’ against human erythropoietin (hEPO) by integrating GlycoShape with the RFdiffusion3 (RFD3) pipeline (doi.org/10.1101/2025...) from the Institute for Protein Design (IDP) colab.research.google.com/github/Ojas-...
Vignettes showing in four stages the RF3-ReGlyco mini-binder design workflow to hEPO as in the demo. From the left-hand side, the 3D structure of hEPO is selected (yellow cartoons with a transparent molecular surface) as target protein. ReGlyco Ensemble is used to reconstruct the glycoprotein with the desired glycosylation. This process will output the inaccessible surface area due to the presence of glycans (dark red spheres) and the accessible surface area (yellow spheres) that can be targeted for binding, or ‘hotspots’. RF3 is used to design mini-binders. Generated designs are shown in grey cartoons. These designs are filtered by ReGlyco to exclude designs clashing with one or more glycosylation sites: predicted binders are shown in green cartoons (filter passed) and predicted non-binders (filter failed passed) in red cartoons. Mol* (https://molstar.org/) was used for structure rendering.
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GlycoShape @glycoshape.org · 17/04/2026
5/7 Adding glycosylation to the receptor in the AF3 prediction timed-out with no output after 24 hrs. We re-run those prediction recently with successful completion in 4 hrs for each design. AF3 is continuously improving, yet extremely time consuming (to date) vs AI+ReGlyco scheme
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GlycoShape @glycoshape.org · 17/04/2026
4/7 Enabling rotameric freedom (dunbrack.fccc.edu/lab/bbdep2010) refines the filter, yet still flagged 5 designs with irresolvable clashes in the Boltz-2 predicted structures. We rebuild all 5 complexes with the AF3 server (no glycans) and were able to obtain an alternative clear pose only for 1 ⬇️
7th highest scoring binder id (submitted pose): Soft-Panda-Snow (149 aa). This pose failed the ReGlyco filter, clashing with glycan at N529. i. 7th highest scoring binder id: Soft-Panda-Snow (149 aa). Alternative pose obtained with AF3 (no glycans).
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GlycoShape @glycoshape.org · 17/04/2026
3/7 We used GlycoShape ReGlyco and the new ReGlyco Rotamer tools to filter in-block the 1,201 results. This exercise flagged 11% of non-binders prior to experiment in approx 3 hrs on a dual-core CPU, a negligible computational overhead
Results of the Adaptyv Bio binder design competition without ReGlyco filtering are shown in the top bar. The middle bar shows the effect of ReGlyco filtering in flagging designs for clashes with one or more glycosylation sites (red) and pass (green). The bottom bar indicates the effect of the refinement with ReGlyco Rotamer, which introduces flexibility in the Asn sidechain of the aglycon. In yellow are confirmed binders flagged by Re-Glyco/Rotamer
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