Literature DB >> 35306321

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

Balaji Nagarajan1, Samuel G Holmes1, Nehru Viji Sankaranarayanan1, Umesh R Desai2.   

Abstract

Natural glycosaminoglycans (GAGs) are informational molecules with astounding structural diversity. Understanding the behavior of GAGs in the free and protein-bound states is critical for harnessing this diversity. Molecular dynamics (MD) offers atomistic insight into principles governing GAG recognition by proteins. Here, we discuss how MD can be used to understand local and global properties of GAGs in free solution, including torsions, puckering, hydrogen bonding, flexibility, and energetics. We discuss MD studies on GAG-protein complexes, which help elucidate the strength of interacting residues, role of water, energetics, and so on. The MD results accumulated so far suggest that GAG recognition of proteins is a continuum from the highly selective on one end to the fully non-selective on the other with intermediate levels of selectivity, including moderately selective and plastic. The advancements in MD technology, such as coarse-grained MD, coupled with really long simulations will help understand macroscale molecular movements in the future.
Copyright © 2022 Elsevier Ltd. All rights reserved.

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Year:  2022        PMID: 35306321      PMCID: PMC9189024          DOI: 10.1016/j.sbi.2022.102356

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   7.786


  76 in total

1.  Glycosaminoglycan conformation: do aqueous molecular dynamics simulations agree with x-ray fiber diffraction?

Authors:  A Almond; J K Sheehan
Journal:  Glycobiology       Date:  2000-03       Impact factor: 4.313

2.  The Interaction of Heparin Tetrasaccharides with Chemokine CCL5 Is Modulated by Sulfation Pattern and pH.

Authors:  Arunima Singh; Warren C Kett; India C Severin; Isaac Agyekum; Jiana Duan; I Jonathan Amster; Amanda E I Proudfoot; Deirdre R Coombe; Robert J Woods
Journal:  J Biol Chem       Date:  2015-04-23       Impact factor: 5.157

3.  Free energy landscapes of iduronic acid and related monosaccharides.

Authors:  Benedict M Sattelle; Steen U Hansen; John Gardiner; Andrew Almond
Journal:  J Am Chem Soc       Date:  2010-09-29       Impact factor: 15.419

Review 4.  Modeling glycosaminoglycan-protein complexes.

Authors:  Małgorzata M Kogut; Mateusz Marcisz; Sergey A Samsonov
Journal:  Curr Opin Struct Biol       Date:  2022-02-10       Impact factor: 6.809

5.  Free energy calculations of glycosaminoglycan-protein interactions.

Authors:  Neha S Gandhi; Ricardo L Mancera
Journal:  Glycobiology       Date:  2009-07-30       Impact factor: 4.313

6.  Defining the Specificity of Carbohydrate-Protein Interactions by Quantifying Functional Group Contributions.

Authors:  Amika Sood; Oksana O Gerlits; Ye Ji; Nicolai V Bovin; Leighton Coates; Robert J Woods
Journal:  J Chem Inf Model       Date:  2018-08-22       Impact factor: 4.956

7.  A Simple Method for Discovering Druggable, Specific Glycosaminoglycan-Protein Systems. Elucidation of Key Principles from Heparin/Heparan Sulfate-Binding Proteins.

Authors:  Aurijit Sarkar; Umesh R Desai
Journal:  PLoS One       Date:  2015-10-21       Impact factor: 3.240

Review 8.  Glycosaminoglycan-Protein Interactions and Their Roles in Human Disease.

Authors:  Deling Shi; Anran Sheng; Lianli Chi
Journal:  Front Mol Biosci       Date:  2021-03-09

9.  In-Depth Molecular Dynamics Study of All Possible Chondroitin Sulfate Disaccharides Reveals Key Insight into Structural Heterogeneity and Dynamism.

Authors:  Balaji Nagarajan; Nehru Viji Sankaranarayanan; Umesh R Desai
Journal:  Biomolecules       Date:  2022-01-05
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  1 in total

1.  3-O-Sulfation induces sequence-specific compact topologies in heparan sulfate that encode a dynamic sulfation code.

Authors:  Samuel G Holmes; Balaji Nagarajan; Umesh R Desai
Journal:  Comput Struct Biotechnol J       Date:  2022-07-18       Impact factor: 6.155

  1 in total

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