1. ABOUT THE DATASET -------------------- Title: Dataset for Molecularly defined glycocalyx models reveal AB5 toxins recognize their target glycans superselectively. Creator(s): Laia Saltor Nœ–ez, Vajinder Kumar, James F. Ross, Jonathan P. Dolan, Sumitra Srimasorn, Xiaoli Zhang, Ralf P. Richter and W. Bruce Turnbull Organisation(s): University of Leeds Rights-holder(s): Copyright 2025 University of Leeds Publication Year: 2025 Description: Data supporting JACS Au publication 10.1021/jacsau.5c00305 including NMR spectra of glycans and glycopolymers, quartz crystal microbalance, spectroscopic ellipsometry and size exclusion chromatography with multiangle light scattering data. Cite as: Laia Saltor Nœ–ez, Vajinder Kumar, James F. Ross, Jonathan P. Dolan, Sumitra Srimasorn, Xiaoli Zhang, Ralf P. Richter and W. Bruce Turnbull (2025): Dataset for molecularly defined glycocalyx models reveal AB5 toxins recognize their target glycans superselectively. University of Leeds. [Dataset] https://doi.org/10.5518/1694 Related publication: Laia Saltor Nœ–ez, Vajinder Kumar, James F. Ross, Jonathan P. Dolan, Sumitra Srimasorn, Xiaoli Zhang, Ralf P. Richter and W. Bruce Turnbull, Molecularly defined glycocalyx models reveal AB5 toxins recognize their target glycans superselectively, JACS Au, 2025, accepted. 10.1021/jacsau.5c00305. Contact: w.b.turnbull@leeds.ac.uk 2. TERMS OF USE --------------- This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Funding organisation: European Union Horizon 2020 under Marie Sklodowska Curie Actions Grant no.: 814029, 746421 Funding organisation: Biotechnology and Biological Sciences Research Council Grant no.: BB/X00158X/1 Funding organisation: Engineering an Physical Sciences Research Council Grant no.: EP/W022842/1 Funding organisation: The Leverhulme Trust Grant no.: RPG-2018-100, RPG-2018-411 4. CONTENTS ----------- NMR_spectroscopy.zip FID data and associated files for NMR spectra are available for the following compounds. The files for each compound are contained in separate folders with sub-folders containing 1H NMR, 13C NMR, DEPT-135 NMR, COSY, HSQC, HMBC as noted: HA-g-propargyl_impure_VM54 [1H NMR (10)] HA-g-propargyl_6_22_VM76 [1H NMR (11)] HA-g-propargyl_6_33_VM80 [1H NMR (11)] HA-g-propargyl_6_50_VM79 [1H NMR (11)] HA-g-LacL_VM81 [1H NMR (11)] HA-g-LacH_VM89_5h [1H NMR (11)] HA-g-Gb3_VM93 [1H NMR (11)] HA-g-Lex_VM90 [1H NMR (11)] 3-azidopropyl_2-acetamido-2-deoxy-3,4,6-tri-O-acetyl-beta-d-glucopyranoside_VM60 [1H NMR (10), 13C NMR (12), DEPT-135 NMR (13), COSY (14)] 3-azidopropyl_2-acetamido-2-deoxy-beta-d-glucopyranoside_VM63 [1H NMR (10), 13C NMR (12), DEPT-135 NMR (13), COSY (14), HSQC (15), HMBC (16)] 3-azidopropyl_Lex_3 [1H NMR (10), 13C NMR (12), DEPT-135 NMR (13), COSY (14), HSQC (15), HMBC (16)] Gb3-N3_5 [1H NMR (10)] SEC-MALS.zip Wyatt ASTRA .afe6 files and .xlsx files for SEC-MALS data for the following samples: HA-g-propargyl [VM-76(2)] HA-g-propargyl [VM-79(2)] HA-g-propargyl [VM-80] HA-g-LacL [VM-81] HA-g-LacH [VM-89_5h] HA-g-Lex [VM-90] HA-g-Gb3 [VM-93] Source_data_QCM-D_and_SE.xlsx source data for figures 4-7, S2-S16 5. METHODS ---------- Detailed information about methods is available in the related publication in Section 1 above.