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Khan T, Suleman M, Ali SS, Sarwar MF, Ali I, Ali L, Khan A, Rokhan B, Wang Y, Zhao R, Wei DQ. Subtractive proteomics assisted therapeutic targets mining and designing ensemble vaccine against Candida auris for immune response induction. Comput Biol Med 2022; 145:105462. [PMID: 35427985 PMCID: PMC8971067 DOI: 10.1016/j.compbiomed.2022.105462] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 03/24/2022] [Accepted: 03/25/2022] [Indexed: 12/16/2022]
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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Affiliation(s)
- Taimoor Khan
- Department of Bioinformatics and Biological Statistics School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Muhammad Suleman
- Center for Biotechnology and Microbiology, University of Swat, Kanju Campus, Swat, Pakistan
| | - Syed Shujait Ali
- Center for Biotechnology and Microbiology, University of Swat, Kanju Campus, Swat, Pakistan
| | - Muhammad Farhan Sarwar
- Knowledge Unite of Science, Department of Biotechnology, University of Management and Technology (UMT), Sialkot Campus, Punjab, Pakistan
| | - Imtiaz Ali
- Department of Biochemistry and Molecular Biology School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Liaqat Ali
- Department of Biological Sciences, National University of Medical Sciences (NUMS), Punjab, Pakistan
| | - Abbas Khan
- Department of Bioinformatics and Biological Statistics School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Bakht Rokhan
- Department of Radiology, Saidu Group of Teaching Hospital, Saidu Sharif, Swat, Pakistan
| | - Yanjing Wang
- Department of Bioinformatics and Biological Statistics School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China,Corresponding author
| | - Ruili Zhao
- Editorial Department of Journal of Henan University of Technology, Zhengzhou, 450001, China
| | - Dong-Qing Wei
- Department of Bioinformatics and Biological Statistics School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China,Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Shenzhen, Guangdong, 518055, China,State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200030, China,Corresponding author. Department of Bioinformatics and Biological Statistics School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
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