ArticleMethods in molecular biology (Clifton, N.J.)2014
Prediction of virulence factors using bioinformatics approaches.
Article in Methods in molecular biology (Clifton, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Computational Approaches for Discovering Virulence Factors inJournal of fungi (Basel, Switzerland) · 2025Review
- Analyzing the safety of the parasiticide fungusMicrobiology spectrum · 2024Article
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Authors and funding
2 authors.
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Abstract
Virulence factors produced by a pathogen are essential for causing disease in the host. They enable the pathogen to establish itself within the host thus enhancing its potential to cause disease and in some instances underlie evasion of host defense mechanisms. Identification of these molecules, especially those of immunological interest and their use in vaccine development are attractive and are among the initial steps of reverse vaccinology. Surface localized virulence factors such as adhesins serve as excellent immunogenic candidates in this regard. In this chapter we have described the bioinformatics approaches for adhesin prediction, which include specific adhesin prediction algorithms.
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