Adebiyi, Marion O. and Oghuan, Josiah and Fatumo, S. and Adebiyi, Ezekiel and Rasgon, Jason L. (2013) A Functional Workbench for Anopheles gambiae Micro Array Analysis. In: Modelling Symposium (EMS), 2013 European, 20-22 Nov. 2013, Manchester, UK.
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Abstract
Insecticide resistance, a character inherited that encompasses alteration in one or more of insect's genes is now a major public health challenge combating world efforts on malaria control strategies. Anopheles has developed heavy resistance to pyrethroids, the only World Health Organization (WHO) recommended class for Indoor Residual Spray (IRS) and Long-Lasting Insecticide Treated Nets (LLITNs) through P450 pathways. We used the biochemical network of Anopheles gambiae (henceforth Ag) to deduce its resistance mechanism(s) using two expression data (when Ag is treated with pyrethroid and when controlled). The employed computational techniques are accessible by a robust, multi-faceted and friendly automated graphic user interface (GUI) tagged 'workbench' with JavaFX Scenebuilder. In this work, we introduced a computational platform to determine and also elucidate for the first time resistance mechanism to a commonly used class of insecticide, Pyrethroid. Significantly, our work is the first computational work to identify genes associated or involved in the efflux system in Ag and as a resistance mechanism in the Anopheles
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Features extraction, Anopheles gambiae, biochemical network, Microarray data, resistance mechanism |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Mrs Patricia Nwokealisi |
Date Deposited: | 22 May 2017 11:58 |
Last Modified: | 22 May 2017 11:58 |
URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/8151 |
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