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Cited by 265

The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.

The viral killer system in yeast: from molecular biology to application

Open access
Schmitt, M·2002·FEMS Microbiology Reviews

Abstract

Since the initial discovery of the yeast killer system almost 40 years ago, intensive studies have substantially strengthened our knowledge in many areas of biology and provided deeper insights into basic aspects of eukaryotic cell biology as well as into virus-host cell interactions and general yeast virology. Analysis of killer toxin structure, synthesis and secretion has fostered understanding of essential cellular mechanisms such as post-translational prepro-protein processing in the secretory pathway. Furthermore, investigation of the receptor-mediated mode of toxin action proved to be an effective means for dissecting the molecular structure and in vivo assembly of yeast and fungal cell walls, providing important insights relevant to combating infections by human pathogenic yeasts. Besides their general importance in understanding eukaryotic cell biology, killer yeasts, killer toxins and killer viruses are also becoming increasingly interesting with respect to possible applications in biomedicine and gene technology. This review will try to address all these aspects.

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Metadata

Authors
Schmitt, M.
Venue
FEMS Microbiology Reviews
Publisher
Wiley
Published
2002-08
Volume
26
Issue
3
Pages
257-276
ISSN
0168-6445 (ISSN-L)
OpenAlex
W2165215330
Cited by
265
References
128
FWCI
6.01
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The viral killer system in yeast: from molecular biology to application. https://app.cochat.ai/papers/10.1016/s0168-6445(02)00099-2
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Schmitt, M. (2002). The viral killer system in yeast: from molecular biology to application. FEMS Microbiology Reviews. https://doi.org/10.1016/s0168-6445(02)00099-2

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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.