Literature DB >> 34626369

Aqueous Molecular Dynamics for Understanding Glycosaminoglycan Recognition by Proteins.

Balaji Nagarajan1, Umesh Desai2.   

Abstract

Glycosaminoglycans (GAGs) are biopolymers that exist in most organisms. GAGs are known to bind to hundreds of proteins and partake in multiple biological processes such as growth, morphogenesis, inflammation, infection, and others. Their intrinsic structural heterogeneity and conformational variability introduce major challenges in experimental studies. On the other hand, recent advances in force field development and computational technology have yielded phenomenal opportunity to study thousands of GAG sequences simultaneously to understand recognition of target protein(s). Here, we describe experimental setup for conventional molecular dynamics simulations of GAGs to position an experimental biologist favorably in performance, analysis and interpretation of stability, specificity, and conformational properties of GAGs, while also elucidating their interactions with amino acid residues of a protein at an atomistic level in presence of water.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  AMBER; CHARMM36; Chimera; Free energy-MMPBSA/MMGBSA; GLYCAM06; Glycosaminoglycan (GAG); Molecular dynamics; NAMD; VMD; cpptraj

Mesh:

Substances:

Year:  2022        PMID: 34626369     DOI: 10.1007/978-1-0716-1398-6_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  39 in total

1.  Computational analysis of interactions in structurally available protein-glycosaminoglycan complexes.

Authors:  Sergey A Samsonov; M Teresa Pisabarro
Journal:  Glycobiology       Date:  2016-06-24       Impact factor: 4.313

Review 2.  Demystifying heparan sulfate-protein interactions.

Authors:  Ding Xu; Jeffrey D Esko
Journal:  Annu Rev Biochem       Date:  2014-03-06       Impact factor: 23.643

3.  Toward a robust computational screening strategy for identifying glycosaminoglycan sequences that display high specificity for target proteins.

Authors:  Nehru Viji Sankaranarayanan; Umesh R Desai
Journal:  Glycobiology       Date:  2014-07-21       Impact factor: 4.313

Review 4.  So you think computational approaches to understanding glycosaminoglycan-protein interactions are too dry and too rigid? Think again!

Authors:  Nehru Viji Sankaranarayanan; Balaji Nagarajan; Umesh R Desai
Journal:  Curr Opin Struct Biol       Date:  2018-01-09       Impact factor: 6.809

5.  Molecular dynamics simulations of CXCL-8 and its interactions with a receptor peptide, heparin fragments, and sulfated linked cyclitols.

Authors:  Neha S Gandhi; Ricardo L Mancera
Journal:  J Chem Inf Model       Date:  2011-02-07       Impact factor: 4.956

6.  Molecular principles for heparin oligosaccharide-based inhibition of neutrophil elastase in cystic fibrosis.

Authors:  Apparao B Kummarapurugu; Daniel K Afosah; Nehru Viji Sankaranarayanan; Rahaman Navaz Gangji; Shuo Zheng; Thomas Kennedy; Bruce K Rubin; Judith A Voynow; Umesh R Desai
Journal:  J Biol Chem       Date:  2018-06-14       Impact factor: 5.157

7.  Mapping of heparin/heparan sulfate binding sites on αvβ3 integrin by molecular docking.

Authors:  Lionel Ballut; Nicolas Sapay; Emilie Chautard; Anne Imberty; Sylvie Ricard-Blum
Journal:  J Mol Recognit       Date:  2013-02       Impact factor: 2.137

Review 8.  The structure of glycosaminoglycans and their interactions with proteins.

Authors:  Neha S Gandhi; Ricardo L Mancera
Journal:  Chem Biol Drug Des       Date:  2008-12       Impact factor: 2.817

Review 9.  The sweet spot: how GAGs help chemokines guide migrating cells.

Authors:  Yoan Monneau; Fernando Arenzana-Seisdedos; Hugues Lortat-Jacob
Journal:  J Leukoc Biol       Date:  2015-12-23       Impact factor: 4.962

Review 10.  Pharmacology of Heparin and Related Drugs.

Authors:  Barbara Mulloy; John Hogwood; Elaine Gray; Rebecca Lever; Clive P Page
Journal:  Pharmacol Rev       Date:  2016-01       Impact factor: 25.468

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