Literature DB >> 18953494

A tool for the prediction of structures of complex sugars.

Junchao Xia1, Claudio Margulis.   

Abstract

In two recent back to back articles(Xia et al., J Chem Theory Comput 3:1620-1628 and 1629-1643, 2007a, b) we have started to address the problem of complex oligosaccharide conformation and folding. The scheme previously presented was based on exhaustive searches in configuration space in conjunction with Nuclear Overhauser Effect (NOE) calculations and the use of a complex rotameric library that takes branching into account. NOEs are extremely useful for structural determination but only provide information about short range interactions and ordering. Instead, the measurement of residual dipolar couplings (RDC), yields information about molecular ordering or folding that is long range in nature. In this article we show the results obtained by incorporation RDC calculations into our prediction scheme. Using this new approach we are able to accurately predict the structure of six human milk sugars: LNF-1, LND-1, LNF-2, LNF-3, LNnT and LNT. Our exhaustive search in dihedral configuration space combined with RDC and NOE calculations allows for highly accurate structural predictions that, because of the non-ergodic nature of these molecules on a time scale compatible with molecular dynamics simulations, are extremely hard to obtain otherwise (Almond et al., Biochemistry 43:5853-5863, 2004). Molecular dynamics simulations in explicit solvent using as initial configurations the structures predicted by our algorithm show that the histo-blood group epitopes in these sugars are relatively rigid and that the whole family of oligosaccharides derives its conformational variability almost exclusively from their common linkage (beta-D: -GlcNAc-(1-->3)-beta-D: -Gal) which can exist in two distinct conformational states. A population analysis based on the conformational variability of this flexible glycosidic link indicates that the relative population of the two distinct states varies for different human milk oligosaccharides.

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Year:  2008        PMID: 18953494     DOI: 10.1007/s10858-008-9279-6

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  49 in total

1.  The use of NMR residual dipolar couplings in aqueous dilute liquid crystalline medium for conformational studies of complex oligosaccharides.

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Journal:  Carbohydr Res       Date:  2000-01-12       Impact factor: 2.104

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Review 4.  NMR residual dipolar couplings as probes of biomolecular dynamics.

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Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

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Review 6.  Structure and dynamics of oligosaccharides: NMR and modeling studies.

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Journal:  Curr Opin Struct Biol       Date:  1996-10       Impact factor: 6.809

Review 7.  Automated synthesis of oligosaccharides as a basis for drug discovery.

Authors:  Peter H Seeberger; Daniel B Werz
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8.  The use of a genetic algorithm search for molecular mechanics (MM3)-based conformational analysis of oligosaccharides.

Authors:  Abraham Nahmany; Francesco Strino; Jimmy Rosen; Graham J L Kemp; Per-Georg Nyholm
Journal:  Carbohydr Res       Date:  2005-04-11       Impact factor: 2.104

9.  Conformational studies of human milk oligosaccharides using (1)H-(13)C one-bond NMR residual dipolar couplings.

Authors:  M Martin-Pastor; C A Bush
Journal:  Biochemistry       Date:  2000-04-25       Impact factor: 3.162

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  5 in total

1.  Sucrose in aqueous solution revisited, Part 2: adaptively biased molecular dynamics simulations and computational analysis of NMR relaxation.

Authors:  Junchao Xia; David A Case
Journal:  Biopolymers       Date:  2011-11-05       Impact factor: 2.505

2.  Searching and optimizing structure ensembles for complex flexible sugars.

Authors:  Junchao Xia; Claudio J Margulis; David A Case
Journal:  J Am Chem Soc       Date:  2011-09-08       Impact factor: 15.419

3.  Sucrose in aqueous solution revisited, Part 1: molecular dynamics simulations and direct and indirect dipolar coupling analysis.

Authors:  Junchao Xia; David A Case
Journal:  Biopolymers       Date:  2011-12-20       Impact factor: 2.505

Review 4.  Bioinformatics and molecular modeling in glycobiology.

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Journal:  Cell Mol Life Sci       Date:  2010-04-04       Impact factor: 9.261

Review 5.  Three-Dimensional Structures of Carbohydrates and Where to Find Them.

Authors:  Sofya I Scherbinina; Philip V Toukach
Journal:  Int J Mol Sci       Date:  2020-10-18       Impact factor: 5.923

  5 in total

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