Online analysis of in vitro resistance to antimalarial drugs through nonlinear regression.

Abstract : Malaria remains one of the leading causes of morbidity and mortality worldwide which is partly due to the emergence of the parasite resistance to antimalarial drugs. In vitro testing of drugs allows an early detection of resistance. The common parameter used for the monitoring of resistance is the concentration that inhibits 50% of the parasite's activity (IC(50)). Various methods of calculation are already used but none of them consider new available tools nor display the precision of IC(50) estimation. We proposed an approach based on the inhibitory sigmoid E(max) model, which is often used in pharmacology, with estimation of IC(50) through nonlinear regression using a standard function of the R software. To facilitate the usage of that tool we have developed an online version available on the website ICEstimator (ICEstimator website http://www.antimalarial-icestimator.net/, 2009) [1]. This website is used by various teams in the world and the user can do the analysis without knowing R using the GUI. This article describes version 2.1 of this website and shows illustration on five different real examples.
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Computer Methods and Programs in Biomedicine, Elsevier, 2010, epub ahead of print. 〈10.1016/j.cmpb.2010.08.003〉
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http://www.hal.inserm.fr/inserm-00521869
Contributeur : Hervé Le Nagard <>
Soumis le : mardi 28 septembre 2010 - 17:08:25
Dernière modification le : mardi 23 janvier 2018 - 11:56:14

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Hervé Le Nagard, Corine Vincent, France Mentré, Jacques Le Bras. Online analysis of in vitro resistance to antimalarial drugs through nonlinear regression.. Computer Methods and Programs in Biomedicine, Elsevier, 2010, epub ahead of print. 〈10.1016/j.cmpb.2010.08.003〉. 〈inserm-00521869〉

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