Genome-Wide Prediction of Vaccine Candidates for Leishmania major: An Integrated Approach
Despite the wealth of information regarding genetics of the causative parasite and experimental immunology of the cutaneous leishmaniasis, there is currently no licensed vaccine against it. In the current study, a two-level data mining strategy was employed, to screen the Leishmania major genome for...
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ftdoajarticles:oai:doaj.org/article:bd7396bf18e546cc90cd2d39b419c6ea 2023-05-15T15:08:53+02:00 Genome-Wide Prediction of Vaccine Candidates for Leishmania major: An Integrated Approach Satarudra Prakash Singh Kriti Roopendra Bhartendu Nath Mishra 2015-01-01T00:00:00Z https://doi.org/10.1155/2015/709216 https://doaj.org/article/bd7396bf18e546cc90cd2d39b419c6ea EN eng Hindawi Limited http://dx.doi.org/10.1155/2015/709216 https://doaj.org/toc/1687-9686 https://doaj.org/toc/1687-9694 1687-9686 1687-9694 doi:10.1155/2015/709216 https://doaj.org/article/bd7396bf18e546cc90cd2d39b419c6ea Journal of Tropical Medicine, Vol 2015 (2015) Arctic medicine. Tropical medicine RC955-962 article 2015 ftdoajarticles https://doi.org/10.1155/2015/709216 2022-12-31T10:58:57Z Despite the wealth of information regarding genetics of the causative parasite and experimental immunology of the cutaneous leishmaniasis, there is currently no licensed vaccine against it. In the current study, a two-level data mining strategy was employed, to screen the Leishmania major genome for promising vaccine candidates. First, we screened a set of 25 potential antigens from 8312 protein coding sequences, based on presence of signal peptides, GPI anchors, and consensus antigenicity predictions. Second, we conducted a comprehensive immunogenic analysis of the 25 antigens based on epitopes predicted by NetCTL tool. Interestingly, results revealed that candidate antigen number 1 (LmjF.03.0550) had greater number of potential T cell epitopes, as compared to five well-characterized control antigens (CSP-Plasmodium falciparum, M1 and NP-Influenza A virus, core protein-Hepatitis B virus, and PSTA1-Mycobacterium tuberculosis). In order to determine an optimal set of epitopes among the highest scoring predicted epitopes, the OptiTope tool was employed for populations susceptible to cutaneous leishmaniasis. The epitope (127SLWSLLAGV) from antigen number 1, found to bind with the most prevalent allele HLA-A⁎0201 (25% frequency in Southwest Asia), was predicted as most immunogenic for all the target populations. Thus, our study reasserts the potential of genome-wide screening of pathogen antigens and epitopes, for identification of promising vaccine candidates. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Journal of Tropical Medicine 2015 1 14 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
topic |
Arctic medicine. Tropical medicine RC955-962 |
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Arctic medicine. Tropical medicine RC955-962 Satarudra Prakash Singh Kriti Roopendra Bhartendu Nath Mishra Genome-Wide Prediction of Vaccine Candidates for Leishmania major: An Integrated Approach |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 |
description |
Despite the wealth of information regarding genetics of the causative parasite and experimental immunology of the cutaneous leishmaniasis, there is currently no licensed vaccine against it. In the current study, a two-level data mining strategy was employed, to screen the Leishmania major genome for promising vaccine candidates. First, we screened a set of 25 potential antigens from 8312 protein coding sequences, based on presence of signal peptides, GPI anchors, and consensus antigenicity predictions. Second, we conducted a comprehensive immunogenic analysis of the 25 antigens based on epitopes predicted by NetCTL tool. Interestingly, results revealed that candidate antigen number 1 (LmjF.03.0550) had greater number of potential T cell epitopes, as compared to five well-characterized control antigens (CSP-Plasmodium falciparum, M1 and NP-Influenza A virus, core protein-Hepatitis B virus, and PSTA1-Mycobacterium tuberculosis). In order to determine an optimal set of epitopes among the highest scoring predicted epitopes, the OptiTope tool was employed for populations susceptible to cutaneous leishmaniasis. The epitope (127SLWSLLAGV) from antigen number 1, found to bind with the most prevalent allele HLA-A⁎0201 (25% frequency in Southwest Asia), was predicted as most immunogenic for all the target populations. Thus, our study reasserts the potential of genome-wide screening of pathogen antigens and epitopes, for identification of promising vaccine candidates. |
format |
Article in Journal/Newspaper |
author |
Satarudra Prakash Singh Kriti Roopendra Bhartendu Nath Mishra |
author_facet |
Satarudra Prakash Singh Kriti Roopendra Bhartendu Nath Mishra |
author_sort |
Satarudra Prakash Singh |
title |
Genome-Wide Prediction of Vaccine Candidates for Leishmania major: An Integrated Approach |
title_short |
Genome-Wide Prediction of Vaccine Candidates for Leishmania major: An Integrated Approach |
title_full |
Genome-Wide Prediction of Vaccine Candidates for Leishmania major: An Integrated Approach |
title_fullStr |
Genome-Wide Prediction of Vaccine Candidates for Leishmania major: An Integrated Approach |
title_full_unstemmed |
Genome-Wide Prediction of Vaccine Candidates for Leishmania major: An Integrated Approach |
title_sort |
genome-wide prediction of vaccine candidates for leishmania major: an integrated approach |
publisher |
Hindawi Limited |
publishDate |
2015 |
url |
https://doi.org/10.1155/2015/709216 https://doaj.org/article/bd7396bf18e546cc90cd2d39b419c6ea |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Journal of Tropical Medicine, Vol 2015 (2015) |
op_relation |
http://dx.doi.org/10.1155/2015/709216 https://doaj.org/toc/1687-9686 https://doaj.org/toc/1687-9694 1687-9686 1687-9694 doi:10.1155/2015/709216 https://doaj.org/article/bd7396bf18e546cc90cd2d39b419c6ea |
op_doi |
https://doi.org/10.1155/2015/709216 |
container_title |
Journal of Tropical Medicine |
container_volume |
2015 |
container_start_page |
1 |
op_container_end_page |
14 |
_version_ |
1766340158546771968 |