Literature DB >> 23439078

Does microsecond sugar ring flexing encode 3D-shape and bioactivity in the heparanome?

Benedict M Sattelle1, Javad Shakeri, Andrew Almond.   

Abstract

The biological information encoded in carbohydrate sequences dwarfs that of proteins and nucleic acids. Deciphering structure-function relationships in heparin and heparan sulfate (the heparanome) is further compounded by extreme sequence diversity, experimental difficulties, and the computational cost of rigorous modeling. Here we perform unbiased microsecond dynamics simulations of 11 heparanome oligosaccharides (55 microseconds total) to investigate the effect of sequence on 3D-structure and to underpin a coarse-grained model that is consistent with long-time scale experimentally validated atomic motions in water. Pyranose ring flexing (puckering) in 2-O-sulfo-α-l-iduronic acid, which underlies heparin-mediated anticoagulation, was modulated by polymerization (chain position and adjacent residues), which is supported by previous experiments. Furthermore, in coarse-grained simulations, inclusion of puckering was essential to predict macroscopic hydrodynamic properties of heparan sulfate chains containing hundreds of monosaccharaides. Our structural findings and model enable rational molecular design, and we propose that, in the heparanome, puckering, polymer 3D-shape, and bioactivity are inextricably linked.

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Year:  2013        PMID: 23439078     DOI: 10.1021/bm400067g

Source DB:  PubMed          Journal:  Biomacromolecules        ISSN: 1525-7797            Impact factor:   6.988


  20 in total

1.  Nuclear Magnetic Resonance Insight into the Multiple Glycosaminoglycan Binding Modes of the Link Module from Human TSG-6.

Authors:  Younghee Park; Thomas A Jowitt; Anthony J Day; James H Prestegard
Journal:  Biochemistry       Date:  2016-01-06       Impact factor: 3.162

Review 2.  Molecular engineering of glycosaminoglycan chemistry for biomolecule delivery.

Authors:  Tobias Miller; Melissa C Goude; Todd C McDevitt; Johnna S Temenoff
Journal:  Acta Biomater       Date:  2013-10-09       Impact factor: 8.947

Review 3.  Glycosaminoglycanomics: where we are.

Authors:  Sylvie Ricard-Blum; Frédérique Lisacek
Journal:  Glycoconj J       Date:  2016-11-30       Impact factor: 2.916

Review 4.  Predicting the Structures of Glycans, Glycoproteins, and Their Complexes.

Authors:  Robert J Woods
Journal:  Chem Rev       Date:  2018-08-09       Impact factor: 60.622

5.  Heparosan-coated liposomes for drug delivery.

Authors:  Rachel S Lane; F Michael Haller; Anais A E Chavaroche; Andrew Almond; Paul L DeAngelis
Journal:  Glycobiology       Date:  2017-11-01       Impact factor: 4.313

6.  Perspective on computational simulations of glycosaminoglycans.

Authors:  Balaji Nagarajan; Nehru Viji Sankaranarayanan; Umesh R Desai
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2018-09-10

7.  Extension and validation of the GLYCAM force field parameters for modeling glycosaminoglycans.

Authors:  Arunima Singh; Matthew B Tessier; Kari Pederson; Xiaocong Wang; Andre P Venot; Geert-Jan Boons; James H Prestegard; Robert J Woods
Journal:  Can J Chem       Date:  2016-02-09       Impact factor: 1.118

Review 8.  Molecular dynamics simulations to understand glycosaminoglycan interactions in the free- and protein-bound states.

Authors:  Balaji Nagarajan; Samuel G Holmes; Nehru Viji Sankaranarayanan; Umesh R Desai
Journal:  Curr Opin Struct Biol       Date:  2022-03-17       Impact factor: 7.786

9.  Rigorous analysis of free solution glycosaminoglycan dynamics using simple, new tools.

Authors:  Balaji Nagarajan; Nehru Viji Sankaranarayanan; Umesh R Desai
Journal:  Glycobiology       Date:  2020-07-16       Impact factor: 4.313

10.  Proteoglycans and their heterogeneous glycosaminoglycans at the atomic scale.

Authors:  Benedict M Sattelle; Javad Shakeri; Matthew J Cliff; Andrew Almond
Journal:  Biomacromolecules       Date:  2015-02-16       Impact factor: 6.988

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