Dhanda, Sandeep Kumar and Vir, Pooja and Singla, Deepak and Gupta, Sudheer and Kumar, Shailesh and Raghava, G.P.S. (2016) A Web-Based Platform for Designing Vaccines against Existing and Emerging Strains of Mycobacterium tuberculosis. PloS one, 11 (4). e0153771. ISSN 1932-6203
PDF (Open Access)
21.pdf - Published Version Download (752Kb) |
Abstract
Development of an effective vaccine against drug-resistant Mycobacterium tuberculosis (Mtb) is crucial for saving millions of premature deaths every year due to tuberculosis. This paper describes a web portal developed for assisting researchers in designing vaccines against emerging Mtb strains using traditional and modern approaches. Firstly, we annotated 59 genomes of Mycobacterium species to understand similarity/dissimilarity between tuberculoid, non-tuberculoid and vaccine strains at genome level. Secondly, antigen-based vaccine candidates have been predicted in each Mtb strain. Thirdly, epitopes-based vaccine candidates were predicted/discovered in above antigen-based vaccine candidates that can stimulate all arms of immune system. Finally, a database of predicted vaccine candidates at epitopes as well at antigen level has been developed for above strains. In order to design vaccine against a newly sequenced genome of Mtb strain, server integrates three modules for identification of strain-, antigen-, epitope-specific vaccine candidates. We observed that 103,522 unique peptides (9mers) had the potential to induce an antibody response and/or promiscuous binder to MHC alleles and/or have the capability to stimulate T lymphocytes. In summary, this web-portal will be useful for researchers working on designing vaccines against Mtb including drug-resistant strains.
Item Type: | Article |
---|---|
Additional Information: | Open Access |
Uncontrolled Keywords: | Bioinformatics |
Subjects: | Q Science > QR Microbiology |
Depositing User: | Dr. K.P.S.Sengar |
Date Deposited: | 29 Sep 2016 10:54 |
Last Modified: | 29 Sep 2016 10:54 |
URI: | http://crdd.osdd.net/open/id/eprint/1863 |
Actions (login required)
View Item |