Identidad Institucional CRAI
Logo EdocUR
    • English
    • español
    • português
  •  Work Submission
  •  FAQs
  • English 
    • English
    • español
    • português
  • Login

Contacto

Twitter

Facebook

Youtube

View Item 
  •   Repositorio Institucional EdocUR - Universidad del Rosario
  • Investigación
  • Artículos
  • View Item
  •   Repositorio Institucional EdocUR - Universidad del Rosario
  • Investigación
  • Artículos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Identification of plasmodium vivax proteins with potential role in invasion using sequence redundancy reduction and profile hidden markov models

  • Exportar citas ▼
    • Exportar a Mendeley
    • Exportar a BibTex
Thumbnail
Date
2011-10-03
Author
Restrepo-Montoya, Daniel
Becerra, David
Carvajal Patino, Juan
Mongui, Alvaro
Niño, Luis F.
Patarroyo, Manuel E.
Patarroyo, Manuel A.Autoridad Universidad de Rosario
Share
Citation
URI

http://repository.urosario.edu.co/handle/10336/8839

Abstract
Background: 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.

Keyword

APICOMPLEXAN PARASITES ; MALARIA PARASITES ; IN-SILICO ; SUBCELLULAR-LOCALIZATION ; TOXOPLASMA-GONDII ; AOTUS MONKEYS ; FALCIPARUM ; PREDICTION ; DATABASE ; PEPTIDES ;

Subject

Enfermedades ;

Source link

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0025189...

Show full item record

Collections
  • Artículos [6079]
Política de Acceso Abierto URPortal de Revistas URRepositorio de Datos de Investigación URCiencia Abierta UR
 

 

Browse

All of DSpaceCommunities & CollectionsTitlesAuthorsTypeSubjectsAdvisorBy Issue DateThis CollectionTitlesAuthorsTypeSubjectsAdvisorBy Issue Date

My Account

LoginRegister

Statistics

View Usage Statistics
Política de Acceso Abierto URPortal de Revistas URRepositorio de Datos de Investigación URCiencia Abierta UR