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Cited by 301

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AIDS-Antiviral Sulfolipids From Cyanobacteria (Blue-Green Algae)

Gustafson, K. R., Cardellina, J. H., Fuller, R. W., Weislow, O. S., Kiser, R. F., Snader, K. M., Patterson, G. M. L., Boyd, M. R.·1989·JNCI Journal of the National Cancer Institute

Abstract

A recently developed tetrazolium-based microculture assay was used to screen extracts of cultured cyanobacteria (blue-green algae) for inhibition of the cytopathic effects of the human immunodeficiency virus (HIV-1), which is implicated as a causative agent of AIDS. A number of extracts were found to be remarkably active against the AIDS virus. A new class of HIV-1-inhibitory compounds, the sulfonic acid-containing glycolipids, was discovered through the use of the microculture assay to guide the fractionation and purification process. The pure compounds were active against HIV-1 in cultured human lymphoblastoid CEM, MT-2, LDV-7, and C3-44 cell lines in the tetrazolium assay as well as in p24 viral protein and syncytium formation assays.

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Metadata

Authors
Gustafson, K. R., Cardellina, J. H., Fuller, R. W., Weislow, O. S., Kiser, R. F., Snader, K. M., Patterson, G. M. L., & Boyd, M. R.
Venue
JNCI Journal of the National Cancer Institute
Published
1989-08-16
Volume
81
Issue
16
Pages
1254-1258
ISSN
  • 0027-8874 (ISSN-L)
  • 1460-2105
OpenAlex
W2096813500
Cited by
301
References
0
FWCI
6.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: AIDS-Antiviral Sulfolipids From Cyanobacteria (Blue-Green Algae). https://app.cochat.ai/papers/10.1093/jnci/81.16.1254
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Gustafson, K. R., Cardellina, J. H., Fuller, R. W., Weislow, O. S., Kiser, R. F., Snader, K. M., Patterson, G. M. L., & Boyd, M. R. (1989). AIDS-Antiviral Sulfolipids From Cyanobacteria (Blue-Green Algae). JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/81.16.1254

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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.