Genetica

, Volume 132, Issue 2, pp 131–142 | Cite as

Inferring the skeleton cell cycle regulatory network of malaria parasite using comparative genomic and variational Bayesian approaches

  • Isabel M. Tienda-Luna
  • Yufang Yin
  • Maria C. Carrion
  • Yufei Huang
  • Hong Cai
  • Maribel Sanchez
  • Yufeng Wang
Article

Abstract

The development of new antimalarial drugs is urgently needed due to elevated drug resistance in the causative agents Plasmodium parasites. An intervention strategy based on the interruption of the parasite cell cycle could be undertaken using a systems-biology aided drug discovery approach. However, little is known about the components or the mechanism of parasite cell cycle control to date. In this proof of concept study, we attempted to infer the skeleton components using comparative genomic analysis and to uncover the genetic regulatory network (GRN) ab initio using a Variational Bayesian expectation maximization (VBEM) approach.

Keywords

Cell cycle Genetic regulatory network Malaria Plasmodium Variational Bayesian 

Abbreviation

APP

a posteriori probability

AUC

Area under the curve

BLAST

Basic local alignment search tool

GRN

Genetic regulatory network

KEGG

Kyoto encyclopedia of genes and genomes

MAP

Maximum a posteriori

MAPK

Mitogen-activated protein kinase

MCM

Minichromosome maintenance

ORF

Open reading frame

PCNA

Proliferating cell nuclear antigen

ROC

Receiver operating characteristic

VBEM

Variational Bayesian expectation maximization

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Isabel M. Tienda-Luna
    • 1
  • Yufang Yin
    • 2
  • Maria C. Carrion
    • 1
  • Yufei Huang
    • 2
  • Hong Cai
    • 2
  • Maribel Sanchez
    • 3
  • Yufeng Wang
    • 3
  1. 1.Department of Applied PhysicsUniversity of GranadaGranadaSpain
  2. 2.Department of Electrical and Computer EngineeringUniversity of Texas at San AntonioSan AntonioUSA
  3. 3.Department of BiologyUniversity of Texas at San AntonioSan AntonioUSA

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