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Related Experiment Video

Updated: Dec 30, 2025

A Soluble Tetrazolium-Based Reduction Assay to Evaluate the Effect of Antibodies on Candida tropicalis Biofilms

A Soluble Tetrazolium-Based Reduction Assay to Evaluate the Effect of Antibodies on Candida tropicalis Biofilms

Published on: September 16, 2022

In silico Design of a Multivalent Vaccine Against Candida albicans.

Shikha Tarang¹, Varun Kesherwani², Blake LaTendresse³

¹Creighton University School of Dentistry, Department of Oral Biology, Omaha, NE, 68178, USA. shikhatarang@creighton.edu.

Scientific Reports

|January 25, 2020

Summary

This study developed a novel peptide vaccine, mvPC, using computational methods to target invasive candidiasis. The vaccine shows promise for enhancing immune response against Candida albicans infections.

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Last Updated: Dec 30, 2025

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Published on: September 16, 2022

Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow

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Small-Scale Plasma Membrane Preparation for the Analysis of Candida albicans Cdr1-mGFPHis

Small-Scale Plasma Membrane Preparation for the Analysis of Candida albicans Cdr1-mGFPHis

Published on: June 13, 2021

Area of Science:

Mycology
Immunology
Computational Biology

Background:

Invasive candidiasis (IC) is a significant nosocomial infection with high mortality.
Existing antifungal treatments face challenges due to toxicity and resistance.
Novel preventive strategies are crucial for combating IC.

Purpose of the Study:

To design a novel immunotherapeutic peptide vaccine against invasive candidiasis.
To computationally identify and select immunodominant epitopes from Candida albicans.
To create a multivalent peptide vaccine (mvPC) with enhanced immunogenicity.

Main Methods:

Screening of the entire Candida proteome (6030 proteins) using computational tools.
Identification of HLA class I, HLA class II, and B-cell epitopes.
In silico selection of 18 promising epitopes and their assembly into a multivalent recombinant protein (mvPC) with a synthetic adjuvant (RS09).

Main Results:

Identification of highly immunodominant epitopes across 22 Candida albicans strains.
Design of a multivalent peptide vaccine (mvPC) with broad epitope coverage.
Incorporation of a synthetic adjuvant (RS09) to enhance vaccine immunogenicity.

Conclusions:

The computational approach successfully designed a multivalent peptide vaccine (mvPC) against Candida albicans.
mvPC's multivalent nature and broad epitope homology offer potential for enhanced protection against IC.
This peptide vaccine approach represents a promising new preventive strategy for invasive candidiasis.