Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments

Hong Cai, Changjin Hong, Jianying Gu, Timothy G. Lilburn, Rui Kuang, Yufeng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With 300-500 clinical cases and 1-2 million deaths yearly, malaria contributes to enormous health care and economic burden worldwide. The advent of high throughput -omics technologies is driving new approaches to the identification of potential antimalarial targets. In this paper, we propose a neighborhood subnetwork alignment approach to uncover the network components involved in cell cycle regulation of the malaria parasite Plasmodium falciparum and to assign function to previously unannotated proteins.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012
Pages77-82
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012 - Philadelphia, PA, United States
Duration: Oct 4 2012Oct 7 2012

Publication series

NameProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012

Other

Other2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012
CountryUnited States
CityPhiladelphia, PA
Period10/4/1210/7/12

Keywords

  • alignment
  • cell cycle
  • malaria
  • network
  • systems biology

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