MalVac: Database of malarial vaccine candidates
Abstract Background The sequencing of genomes of the Plasmodium species causing malaria, offers immense opportunities to aid in the development of new therapeutics and vaccine candidates through Bioinformatics tools and resources. Methods The starting point of MalVac database is the collection of kn...
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ftdoajarticles:oai:doaj.org/article:6e14d51816d2423ea54eb7e6b7f95bfa 2023-05-15T15:16:09+02:00 MalVac: Database of malarial vaccine candidates Singh Harinder Ansari Faraz Ahmed Shakil Chaudhuri Rupanjali Ramachandran Srinivasan 2008-09-01T00:00:00Z https://doi.org/10.1186/1475-2875-7-184 https://doaj.org/article/6e14d51816d2423ea54eb7e6b7f95bfa EN eng BMC http://www.malariajournal.com/content/7/1/184 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-7-184 1475-2875 https://doaj.org/article/6e14d51816d2423ea54eb7e6b7f95bfa Malaria Journal, Vol 7, Iss 1, p 184 (2008) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2008 ftdoajarticles https://doi.org/10.1186/1475-2875-7-184 2022-12-31T01:15:24Z Abstract Background The sequencing of genomes of the Plasmodium species causing malaria, offers immense opportunities to aid in the development of new therapeutics and vaccine candidates through Bioinformatics tools and resources. Methods The starting point of MalVac database is the collection of known vaccine candidates and a set of predicted vaccine candidates identified from the whole proteome sequences of Plasmodium species provided by PlasmoDb 5.4 release (31st October 2007). These predicted vaccine candidates are the adhesins and adhesin-like proteins from Plasmodium species, Plasmodium falciparum , Plasmodium vivax and Plasmodium yoelii . Subsequently, these protein sequences were analysed through 20 publicly available algorithms to obtain Orthologs, Paralogs, BetaWraps, TargetP, TMHMM, SignalP, CDDSearch, BLAST with Human Ref. Proteins, T-cell epitopes, B-cell epitopes, Discotopes, and allergen predictions. All of this information was collected and organized with the ORFids of the protein sequences as primary keys. This information is relevant from the view point of Reverse Vaccinology in facilitating decision making on the most probable choice for vaccine strategy. Results Detailed information on the patterning of the epitopes and other motifs of importance from the viewpoint of reverse vaccinology has been obtained on the most probable protein candidates for vaccine investigation from three major malarial species. Analysis data are available on 161 adhesin proteins from P. falciparum , 137 adhesin proteins from P. vivax and 34 adhesin proteins from P. yoelii . The results are displayed in convenient tabular format and a facility to export the entire data has been provided. The MalVac database is a "community resource". Users are encouraged to export data and further contribute by value addition. Value added data may be sent back to the community either through MalVac or PlasmoDB. Conclusion A web server MalVac for facilitation of the identification of probable vaccine candidates has been developed and ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 7 1 184 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
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Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Singh Harinder Ansari Faraz Ahmed Shakil Chaudhuri Rupanjali Ramachandran Srinivasan MalVac: Database of malarial vaccine candidates |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background The sequencing of genomes of the Plasmodium species causing malaria, offers immense opportunities to aid in the development of new therapeutics and vaccine candidates through Bioinformatics tools and resources. Methods The starting point of MalVac database is the collection of known vaccine candidates and a set of predicted vaccine candidates identified from the whole proteome sequences of Plasmodium species provided by PlasmoDb 5.4 release (31st October 2007). These predicted vaccine candidates are the adhesins and adhesin-like proteins from Plasmodium species, Plasmodium falciparum , Plasmodium vivax and Plasmodium yoelii . Subsequently, these protein sequences were analysed through 20 publicly available algorithms to obtain Orthologs, Paralogs, BetaWraps, TargetP, TMHMM, SignalP, CDDSearch, BLAST with Human Ref. Proteins, T-cell epitopes, B-cell epitopes, Discotopes, and allergen predictions. All of this information was collected and organized with the ORFids of the protein sequences as primary keys. This information is relevant from the view point of Reverse Vaccinology in facilitating decision making on the most probable choice for vaccine strategy. Results Detailed information on the patterning of the epitopes and other motifs of importance from the viewpoint of reverse vaccinology has been obtained on the most probable protein candidates for vaccine investigation from three major malarial species. Analysis data are available on 161 adhesin proteins from P. falciparum , 137 adhesin proteins from P. vivax and 34 adhesin proteins from P. yoelii . The results are displayed in convenient tabular format and a facility to export the entire data has been provided. The MalVac database is a "community resource". Users are encouraged to export data and further contribute by value addition. Value added data may be sent back to the community either through MalVac or PlasmoDB. Conclusion A web server MalVac for facilitation of the identification of probable vaccine candidates has been developed and ... |
format |
Article in Journal/Newspaper |
author |
Singh Harinder Ansari Faraz Ahmed Shakil Chaudhuri Rupanjali Ramachandran Srinivasan |
author_facet |
Singh Harinder Ansari Faraz Ahmed Shakil Chaudhuri Rupanjali Ramachandran Srinivasan |
author_sort |
Singh Harinder |
title |
MalVac: Database of malarial vaccine candidates |
title_short |
MalVac: Database of malarial vaccine candidates |
title_full |
MalVac: Database of malarial vaccine candidates |
title_fullStr |
MalVac: Database of malarial vaccine candidates |
title_full_unstemmed |
MalVac: Database of malarial vaccine candidates |
title_sort |
malvac: database of malarial vaccine candidates |
publisher |
BMC |
publishDate |
2008 |
url |
https://doi.org/10.1186/1475-2875-7-184 https://doaj.org/article/6e14d51816d2423ea54eb7e6b7f95bfa |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 7, Iss 1, p 184 (2008) |
op_relation |
http://www.malariajournal.com/content/7/1/184 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-7-184 1475-2875 https://doaj.org/article/6e14d51816d2423ea54eb7e6b7f95bfa |
op_doi |
https://doi.org/10.1186/1475-2875-7-184 |
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Malaria Journal |
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7 |
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1 |
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184 |
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