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

doi:10.1109/BIBM.2012.6392647

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

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012
Pages	77-82
Number of pages	6
DOIs	https://doi.org/10.1109/BIBM.2012.6392647
State	Published - 2012
Event	2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012 - Philadelphia, PA, United States Duration: Oct 4 2012 → Oct 7 2012

Publication series

Name	Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012

Other

Other	2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012
Country/Territory	United States
City	Philadelphia, PA
Period	10/4/12 → 10/7/12

Keywords

alignment
cell cycle
malaria
network
systems biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/BIBM.2012.6392647

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Cai, H., Hong, C., Gu, J., Lilburn, T. G., Kuang, R., & Wang, Y. (2012). Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments. In Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012 (pp. 77-82). Article 6392647 (Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012). https://doi.org/10.1109/BIBM.2012.6392647

Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments. / Cai, Hong; Hong, Changjin; Gu, Jianying et al.
Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012. 2012. p. 77-82 6392647 (Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cai, H, Hong, C, Gu, J, Lilburn, TG, Kuang, R & Wang, Y 2012, Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments. in Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012., 6392647, Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012, pp. 77-82, 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012, Philadelphia, PA, United States, 10/4/12. https://doi.org/10.1109/BIBM.2012.6392647

Cai H, Hong C, Gu J, Lilburn TG, Kuang R, Wang Y. Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments. In Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012. 2012. p. 77-82. 6392647. (Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012). doi: 10.1109/BIBM.2012.6392647

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

Abstract

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Keywords

UN SDGs

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