| Literature DB >> 35480233 |
Stavros A Maurakis1, Cynthia Nau Cornelissen1.
Abstract
Gonorrhea is a global health concern. Its etiological agent, Neisseria gonorrhoeae, rapidly acquires antimicrobial resistance and does not confer protective immunity as a consequence of infection. Attempts to generate an effective vaccine for gonorrhea have thus far been unsuccessful, as many structures on the bacterial envelope have the propensity to rapidly change, thus complicating recognition by the human immune system. In response to recent efforts from global health authorities to spur the efforts towards development of a vaccine, several new and promising steps have been made towards this goal, aided by advancements in computational epitope identification and prediction methods. Here, we provide a short review of recent progress towards a viable gonococcal vaccine, with a focus on antigen identification and characterization, and discuss a few of the tools that may be important in furthering these efforts.Entities:
Keywords: Neisseria gonorrhoeae; computation; epitope; gonorrhea; immunity; modeling; sexually-transmitted infections; vaccine
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Year: 2022 PMID: 35480233 PMCID: PMC9038166 DOI: 10.3389/fcimb.2022.881392
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 6.073
Figure 1A simplified pipeline for identifying candidate antigens. The cartoon above demonstrates a simplified version of the antigen identification pipeline described in the text. In short, once a genome has been chosen for the organism in question, this genome can be screened for genes likely to produce surface-exposed products, which represent a logical first choice in identifying targets. Once a list of potential surface targets has been identified, these can be further validated by running through topology prediction tools or similar methods to verify the initial screen. From here, the list can be further narrowed down to include only gene products with sufficient epitope characteristics, such as those for B cells and/or T cells, leaving the researcher with a finalized list of candidate targets for evaluation.