ArticleComputers in biology and medicine2022
Subtractive proteomics assisted therapeutic targets mining and designing ensemble vaccine against Candida auris for immune response induction.
Article in Computers in biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 26 citations in OpenAlex.
- RethinkingVaccines · 2026Review
- The urgent and challenging superbug fungus Candidozyma auris (formerly Candida auris): a comprehensive review.Antonie van Leeuwenhoek · 2026Review
- Unveiling the molecular mechanism of Qingwen Baidu decoction against dengue fever: an integrated study of bioinformatic analysis, machine learning and network pharmacology.Functional & integrative genomics · 2026Article
- Computational identification of antigens and development of a multi-epitope vaccine for bacterial vaginosis caused by Gardnerella vaginalis.Amino acids · 2026Article
- The emerging pathogen Candida auris: host interactions and disease drivers.Journal of biomedical science · 2026Review
- Integrated in-silico design and in vivo validation of multi-epitope vaccines for norovirus.Virology journal · 2025Article
- Designing of multi-valent epitope vaccine displaying interactions with diverse HLA alleles against Candida auris using immuno-informatics.Journal, genetic engineering & biotechnology · 2025Article
- In silico design of Ebola virus Glycoprotein antigenic peptides as vaccine candidates.PloS one · 2025Article
- Article
- The evolution of antifungal therapy: Traditional agents, current challenges and future perspectives.Current research in microbial sciences · 2025Review
- Immunoinformatics Design of a Multiepitope Vaccine (MEV) TargetingPathogens (Basel, Switzerland) · 2024Article
- Current Perspectives of Antifungal Therapy: A Special Focus onJournal of fungi (Basel, Switzerland) · 2024Review
- Design of multi-epitope chimeric vaccine against Monkeypox virus and SARS-CoV-2: A vaccinomics perspective.Journal of cellular and molecular medicine · 2024Article
- Immunoinformatics design of novel multi-epitope vaccine against Trueperella Pyogenes using collagen adhesion protein, fimbriae, and pyolysin.Archives of microbiology · 2024Article
- Exploring and targeting potential druggable antimicrobial resistance targets ArgS, SecY, and MurA in Staphylococcus sciuri with TCM inhibitors through a subtractive genomics strategy.Functional & integrative genomics · 2023Article
- Fungal Vaccine Development: State of the Art and Perspectives Using Immunoinformatics.Journal of fungi (Basel, Switzerland) · 2023Review
- Comparative Genomics ofJournal of fungi (Basel, Switzerland) · 2023Article
- Advances in Computational and Bioinformatics Tools and Databases for Designing and Developing a Multi-Epitope-Based Peptide Vaccine.International journal of peptide research and therapeutics · 2023Review
- Regulation of Host Immune Response againstMicroorganisms · 2022Article
- Proteome-Wide and Protein-Specific Multi-Epitope Vaccine Constructs Against the Rift Valley Fever Virus Outbreak Using Integrated Omics Approaches.Frontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence of variants and the reports of co-infection caused by Candida auris in COVID-19 patients adds a further complication to the global pandemic situation. To date, no effective therapy is available for C. auris infections. Thus, characterization of therapeutic targets and designing effective vaccine candidates using subtractive proteomics and immune-informatics approaches is useful tool in controlling the emerging infections associated with SARS-CoV-2. In the current study, subtractive proteomics-assisted annotation of the vaccine targets was performed, which revealed seven vaccine targets. An immunoinformatic-driven approach was then employed to map protein-specific and proteome-wide immunogenic peptides (CTL, B cell, and HTL) for the design of multi-epitope vaccine candidates (MEVCs). The results demonstrated that the vaccine candidates possess strong antigenic features (>0.4 threshold score) and are classified as non-allergenic. Validation of the designed MEVCs through molecular docking, in-silico cloning, and immune simulation further demonstrated the efficacy of the vaccines by producing immune factor titers (ranging from 2500 to 16000 au/mL) i.e., IgM, IgG, IL-6, and Interferon-α. In conclusion, the current study provides a strong impetus in designing anti-fungal strategies against Candida auris.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.