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MalVac: Database of malarial vaccine candidates

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 vac...

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Autores principales: Chaudhuri, Rupanjali, Ahmed, Shakil, Ansari, Faraz Alam, Singh, Harinder Vir, Ramachandran, Srinivasan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2562390/
https://www.ncbi.nlm.nih.gov/pubmed/18811938
http://dx.doi.org/10.1186/1475-2875-7-184
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author Chaudhuri, Rupanjali
Ahmed, Shakil
Ansari, Faraz Alam
Singh, Harinder Vir
Ramachandran, Srinivasan
author_facet Chaudhuri, Rupanjali
Ahmed, Shakil
Ansari, Faraz Alam
Singh, Harinder Vir
Ramachandran, Srinivasan
author_sort Chaudhuri, Rupanjali
collection PubMed
description 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 can be freely accessed.
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spelling pubmed-25623902008-10-07 MalVac: Database of malarial vaccine candidates Chaudhuri, Rupanjali Ahmed, Shakil Ansari, Faraz Alam Singh, Harinder Vir Ramachandran, Srinivasan Malar J Commentary 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 can be freely accessed. BioMed Central 2008-09-23 /pmc/articles/PMC2562390/ /pubmed/18811938 http://dx.doi.org/10.1186/1475-2875-7-184 Text en Copyright © 2008 Chaudhuri et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentary
Chaudhuri, Rupanjali
Ahmed, Shakil
Ansari, Faraz Alam
Singh, Harinder Vir
Ramachandran, Srinivasan
MalVac: Database of malarial vaccine candidates
title 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_short MalVac: Database of malarial vaccine candidates
title_sort malvac: database of malarial vaccine candidates
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2562390/
https://www.ncbi.nlm.nih.gov/pubmed/18811938
http://dx.doi.org/10.1186/1475-2875-7-184
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