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dc.creatorRestrepo-Montoya, Daniel 
dc.creatorBecerra, David 
dc.creatorCarvajal Patino, Juan 
dc.creatorMongui, Alvaro 
dc.creatorNiño, Luis F. 
dc.creatorPatarroyo, Manuel E. 
dc.creatorPatarroyo, Manuel A. 
dc.date.accessioned2014-08-13T19:38:44Z
dc.date.available2014-08-13T19:38:44Z
dc.date.created2011-10-03
dc.date.issued2011 
dc.identifier.issnISSN:ISSN:1932-6203
dc.identifier.urihttp://repository.urosario.edu.co/handle/10336/8839
dc.description.abstractBackground: This study describes a bioinformatics approach designed to identify Plasmodium vivax proteins potentially involved in reticulocyte invasion. Specifically, different protein training sets were built and tuned based on different biological parameters, such as experimental evidence of secretion and/or involvement in invasion-related processes. A profile-based sequence method supported by hidden Markov models (HMMs) was then used to build classifiers to search for biologically-related proteins. The transcriptional profile of the P. vivax intra-erythrocyte developmental cycle was then screened using these classifiers. Results: A bioinformatics methodology for identifying potentially secreted P. vivax proteins was designed using sequence redundancy reduction and probabilistic profiles. This methodology led to identifying a set of 45 proteins that are potentially secreted during the P. vivax intra-erythrocyte development cycle and could be involved in cell invasion. Thirteen of the 45 proteins have already been described as vaccine candidates; there is experimental evidence of protein expression for 7 of the 32 remaining ones, while no previous studies of expression, function or immunology have been carried out for the additional 25. Conclusions: The results support the idea that probabilistic techniques like profile HMMs improve similarity searches. Also, different adjustments such as sequence redundancy reduction using Pisces or Cd-Hit allowed data clustering based on rational reproducible measurements. This kind of approach for selecting proteins with specific functions is highly important for supporting large-scale analyses that could aid in the identification of genes encoding potential new target antigens for vaccine development and drug design. The present study has led to targeting 32 proteins for further testing regarding their ability to induce protective immune responses against P. vivax malaria.
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.relation.ispartofPLOS ONE ISSN: 1932-6203 V. 6 N. 10 Oct, 3, 2011
dc.relation.urihttp://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0025189
dc.sourcereponame:Repositorio Institucional EdocUR
dc.sourceinstname:Universidad del Rosario
dc.subject.ddcEnfermedades 
dc.titleIdentification of plasmodium vivax proteins with potential role in invasion using sequence redundancy reduction and profile hidden markov models
dc.typearticle
dc.audienceComunidad Rosarista
dc.publisherUniversidad del Rosario
dc.subject.keywordAPICOMPLEXAN PARASITES
dc.subject.keywordMALARIA PARASITES
dc.subject.keywordIN-SILICO
dc.subject.keywordSUBCELLULAR-LOCALIZATION
dc.subject.keywordTOXOPLASMA-GONDII
dc.subject.keywordAOTUS MONKEYS
dc.subject.keywordFALCIPARUM
dc.subject.keywordPREDICTION
dc.subject.keywordDATABASE
dc.subject.keywordPEPTIDES
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.subject.decsMalaria
dc.subject.decsToxoplasmosis
dc.subject.decsPlasmodium
dc.type.spaArtículo
dc.rights.accesoAbierto (Texto completo)
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.format.tipoDocumento
dc.rights.licenciaEL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma.
dc.creator.googleRestrepo-Montoya, Daniel
dc.creator.googleBecerra, David
dc.creator.googleCarvajal-Patiño, Juan G.
dc.creator.googleMongui, Alvaro
dc.creator.googleNiño, Luis F.
dc.creator.googlePatarroyo, Manuel E.
dc.creator.googlePatarroyo, Manuel A.


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