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Cited by 458

The DOI matches its Crossref record; 360 of the 360 references it cites were found in a registry or an index.

Sialic Acids in Molecular and Cellular Interactions

Open access
Kelm, Sørge, Schauer, Roland·1997·International Review of Cytology

Abstract

Sialic acids (Sias) are terminal components of many glycoproteins and glycolipids especially of higher animals. In this exposed position they contribute significantly to the structural properties of these molecules, both in solution and on cell surfaces. Therefore, it is not surprising that Sias are important regulators of cellular and molecular interactions, in which they play a dual role. They can either mask recognition sites or serve as recognition determinants. Whereas the role of Sias in masking and in binding of pathogens to host cells has been documented over many years, their role in nonpathological cellular interaction has only been shown recently. The aim of this chapter is to summarize our knowledge about Sias in masking, for example, galactose residues, and to review the progress made during the past few years with respect to Sias as recognition determinants in the adhesion of pathogenic viruses, bacteria, and protozoa, and particularly as binding sites for endogenous cellular interaction molecules. Finally, perspectives for future research on these topics are discussed.

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Crossref · 10.1016/s0074-7696(08)62127-0

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Metadata

Authors
Kelm, S., & Schauer, R.
Venue
International Review of Cytology
Publisher
Elsevier
Published
1997
Volume
175
Pages
137-240
ISSN
0074-7696 (ISSN-L)
OpenAlex
W1565376547
Cited by
458
References
360
FWCI
26.93
Type
book chapter
Language
en
Open access
green

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CoChat. (2026). Citation check: Sialic Acids in Molecular and Cellular Interactions. https://app.cochat.ai/papers/10.1016/s0074-7696(08)62127-0
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Kelm, S., & Schauer, R. (1997). Sialic Acids in Molecular and Cellular Interactions. International Review of Cytology. https://doi.org/10.1016/s0074-7696(08)62127-0

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.