Literature DB >> 9249154

Computational studies of sialyllactones: methods and uses.

A L Parrill1, N Mamuya, D P Dolata, J Gervay.   

Abstract

N-Acetylneuraminic acid (1) is a common sugar in many biological recognition processes. Neuraminidase enzymes recognize and cleave terminal sialic acids from cell surfaces. Viral entry into host cells requires neuraminidase activity, thus inhibition of neuraminidase is a useful strategy for development of drugs for viral infections. A recent crystal structure for influenza viral neuraminidase with sialic acid bound shows that the sialic acid is in a boat conformation [Prot Struct Funct Genet 14: 327 (1992)]. Our studies seek to determine if structural pre-organization can be achieved through the use of sialyllactones. Determination of whether siallylactones are pre-organized in a binding conformation requires conformational analysis. Our inability to find a systematic study comparing the results obtained by various computational methods for carbohydrate modeling led us to compare two different conformational analysis techniques, four different force fields, and three different solvent models. The computational models were compared based on their ability to reproduce experimental coupling constants for sialic acid, sialyl-1,4-lactone, and sialyl-1,7-lactone derivatives. This study has shown that the MM3 forcefield using the implicit solvent model for water implemented in Macromodel best reproduces the experimental coupling constants. The low-energy conformations generated by this combination of computational methods are pre-organized toward conformations which fit well into the active site of neuraminidase.

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Year:  1997        PMID: 9249154     DOI: 10.1023/a:1018520006315

Source DB:  PubMed          Journal:  Glycoconj J        ISSN: 0282-0080            Impact factor:   2.916


  8 in total

1.  The structure of the complex between influenza virus neuraminidase and sialic acid, the viral receptor.

Authors:  J N Varghese; J L McKimm-Breschkin; J B Caldwell; A A Kortt; P M Colman
Journal:  Proteins       Date:  1992-11

2.  The use of the AMBER force field in conformational analysis of carbohydrate molecules: determination of the solution conformation of methyl alpha-lactoside by NMR spectroscopy, assisted by molecular mechanics and dynamics calculations.

Authors:  J L Asensio; J Jimenez-Barbero
Journal:  Biopolymers       Date:  1995-01       Impact factor: 2.505

3.  A revised potential-energy surface for molecular mechanics studies of carbohydrates.

Authors:  S N Ha; A Giammona; M Field; J W Brady
Journal:  Carbohydr Res       Date:  1988-09-15       Impact factor: 2.104

4.  A molecular mechanical force field for the conformational analysis of oligosaccharides: comparison of theoretical and crystal structures of Man alpha 1-3Man beta 1-4GlcNAc.

Authors:  S W Homans
Journal:  Biochemistry       Date:  1990-10-02       Impact factor: 3.162

5.  ELAM-1 mediates cell adhesion by recognition of a carbohydrate ligand, sialyl-Lex.

Authors:  M L Phillips; E Nudelman; F C Gaeta; M Perez; A K Singhal; S Hakomori; J C Paulson
Journal:  Science       Date:  1990-11-23       Impact factor: 47.728

6.  Characterization of sialosylated Lewisx as a new tumor-associated antigen.

Authors:  K Fukushima; M Hirota; P I Terasaki; A Wakisaka; H Togashi; D Chia; N Suyama; Y Fukushi; E Nudelman; S Hakomori
Journal:  Cancer Res       Date:  1984-11       Impact factor: 12.701

7.  On the side-chain conformation of N-acetylneuraminic acid and its epimers at C-7, C-8, and C-7,8.

Authors:  R Christian; G Schulz; H H Brandstetter; E Zbiral
Journal:  Carbohydr Res       Date:  1987-04-15       Impact factor: 2.104

Review 8.  The molecular biology of influenza virus pathogenicity.

Authors:  H D Klenk; R Rott
Journal:  Adv Virus Res       Date:  1988       Impact factor: 9.937

  8 in total
  1 in total

Review 1.  Intramolecular Lactones of Sialic Acids.

Authors:  Paola Rota; Paolo La Rocca; Pietro Allevi; Carlo Pappone; Luigi Anastasia
Journal:  Int J Mol Sci       Date:  2020-10-30       Impact factor: 5.923

  1 in total

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