Literature DB >> 1555576

Use of sialic acid analogues to define functional groups involved in binding to the influenza virus hemagglutinin.

S Kelm1, J C Paulson, U Rose, R Brossmer, W Schmid, B P Bandgar, E Schreiner, M Hartmann, E Zbiral.   

Abstract

The initial step of influenza infection is binding of the virus particles via their hemagglutinin to cell-surface sialic acids. This study was initiated to elucidate the functional groups of the nine-carbon sialic acid molecule which interact with the hemagglutinin and contribute to the affinity of this sugar to the protein. In order to address this question, synthetic sialic acid analogues were tested in a virus adsorption inhibition assay for their inhibitory potency. Modifications in three regions of the sialic acid molecule were evaluated: the glycerol side chain (C7-C9), the N-acetyl group at C5, and the carboxy group (C1). In the glycerol side chain, the hydroxy groups at C7 and C8 appear to be important for binding through hydrogen bonds, whereas the hydroxyl at C9 does not appear to be involved. The N-acetyl group is critical for the interaction of sialic acid with the hemagglutinin. The results suggest that its contribution is mediated through hydrophobic interactions of the methyl group. Finally, the orientation of the carboxy group is essential for the binding of sialic acid to the hemagglutinin. The information gained in this study will be useful in developing novel compounds which bind more avidly to the influenza virus hemagglutinin. Such a strategy may contribute to the design of new anti-influenza drugs.

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Year:  1992        PMID: 1555576     DOI: 10.1111/j.1432-1033.1992.tb16762.x

Source DB:  PubMed          Journal:  Eur J Biochem        ISSN: 0014-2956


  12 in total

1.  Glycoengineering of Esterase Activity through Metabolic Flux-Based Modulation of Sialic Acid.

Authors:  Mohit P Mathew; Elaine Tan; Jason W Labonte; Shivam Shah; Christopher T Saeui; Lingshu Liu; Rahul Bhattacharya; Patawut Bovonratwet; Jeffrey J Gray; Kevin J Yarema
Journal:  Chembiochem       Date:  2017-04-20       Impact factor: 3.164

2.  Binding of N-trifluoroacetyl-derivatized natural glycosphingolipids by uropathogenic Escherichia coli and Neisseria subflava.

Authors:  B Lanne; J Angström; M Olwegård; S Teneberg; G Stenhagen; K A Karlsson; E Nilsson
Journal:  Glycoconj J       Date:  1998-10       Impact factor: 2.916

Review 3.  Structure, biosynthesis, and function of salivary mucins.

Authors:  A M Wu; G Csako; A Herp
Journal:  Mol Cell Biochem       Date:  1994-08-17       Impact factor: 3.396

4.  Metabolic Glycoengineering of Sialic Acid Using N-acyl-modified Mannosamines.

Authors:  Paul R Wratil; Rüdiger Horstkorte
Journal:  J Vis Exp       Date:  2017-11-25       Impact factor: 1.355

5.  Adhesion of Helicobacter pylori strains to alpha-2,3-linked sialic acids.

Authors:  S Hirmo; S Kelm; R Schauer; B Nilsson; T Wadström
Journal:  Glycoconj J       Date:  1996-12       Impact factor: 2.916

Review 6.  The Sialoadhesins--a family of sialic acid-dependent cellular recognition molecules within the immunoglobulin superfamily.

Authors:  S Kelm; R Schauer; P R Crocker
Journal:  Glycoconj J       Date:  1996-12       Impact factor: 2.916

7.  Modifications of cell surface sialic acids modulate cell adhesion mediated by sialoadhesin and CD22.

Authors:  S Kelm; R Schauer; J C Manuguerra; H J Gross; P R Crocker
Journal:  Glycoconj J       Date:  1994-12       Impact factor: 2.916

8.  Site-directed fragment-based generation of virtual sialic acid databases against influenza A hemagglutinin.

Authors:  Mohammed Noor Al-qattan; Mohd Nizam Mordi
Journal:  J Mol Model       Date:  2009-10-25       Impact factor: 1.810

9.  Structural basis for receptor specificity of influenza B virus hemagglutinin.

Authors:  Qinghua Wang; Xia Tian; Xiaorui Chen; Jianpeng Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-17       Impact factor: 11.205

10.  Docking of sialic acid analogues against influenza A hemagglutinin: a correlational study between experimentally measured and computationally estimated affinities.

Authors:  Mohammed Noor Al-qattan; Mohd Nizam Mordi
Journal:  J Mol Model       Date:  2009-11-13       Impact factor: 1.810

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