The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Polyacrylamides Bearing Pendant α-Sialoside Groups Strongly Inhibit Agglutination of Erythrocytes by Influenza Virus: The Strong Inhibition Reflects Enhanced Binding through Cooperative Polyvalent Interactions
Abstract
An ELISA assay is described for measuring the binding of influenza virus A-X31 to α-sialoside groups that are linked to biotin-labeled polyacrylamides. The efficacy of these polymers in inhibiting the adhesion of influenza virus to erythrocytes (as measured by a hemagglutination assay) was shown to be directly related to the binding affinity of the polymers for the viral surface: the differences in inhibitory efficacy among the polymeric inhibitors and monomeric α-methyl sialoside, among fractions of a polymeric, polyvalent inhibitor with narrow molecular weight ranges, and among polymeric inhibitors prepared by copolymerization or modification of a preformed polymer chain, all correlated with differences in the affinity of the inhibitors for the surface of the virus. The polymeric inhibitors studied had affinities for the viral surface that ranged between 10 3 and >10 6 greater than α-methyl sialoside, on the basis of total sialic acid groups in solution. The role of steric stabilization in the mechanism by which these polymers inhibit hemagglutination was investigated. The ability of the polymeric, polyvalent inhibitors to inhibit the binding of a polyclonal antibody to the viral surface suggests that steric stabilization may also be an important effect in this system.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Yotsu-Yamashita, M., Haddock, R. L., & Yasumoto, T. (1993) · Journal of the American Chemical Society · doi:10.1021/ja00056a048 · Cited by 125
Cited by
The dawning era of polymer therapeutics
Duncan, R. (2003) · Nature Reviews Drug Discovery · doi:10.1038/nrd1088 · Cited by 3,269
Synthetic glycopolymers: an overview
Ladmiral, V., Melia, E., & Haddleton, D. M. (2004) · European Polymer Journal · doi:10.1016/j.eurpolymj.2003.10.019 · Cited by 437
Glycopolymer probes of signal transduction
Kiessling, L. L., & Grim, J. C. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60097a · Cited by 335
Syntheses and some applications of chemically defined multivalent glycoconjugates
Roy, R. (1996) · Current Opinion in Structural Biology · doi:10.1016/s0959-440x(96)80037-6 · Cited by 296
Mann, D. A., Kanai, M., Maly, D. J., & Kiessling, L. L. (1998) · Journal of the American Chemical Society · doi:10.1021/ja9818506 · Cited by 277
A Model for Describing the Thermodynamics of Multivalent Host−Guest Interactions at Interfaces
Huskens, J., Mulder, A., Auletta, T., Nijhuis, C. A., Ludden, M. J. W., & Reinhoudt, D. N. (2004) · Journal of the American Chemical Society · doi:10.1021/ja049085k · Cited by 257
Metadata
- Authors
- Sigal, G. B., Mammen, M., Dahmann, G., & Whitesides, G. M.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 1996-04-24
- Volume
- 118
- Issue
- 16
- Pages
- 3789-3800
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2134951921
- Cited by
- 338
- References
- 1
- FWCI
- 15.85
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.