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

机译:通过非线性回归在线分析抗疟药物的体外抗药性。

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摘要

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.
机译:疟疾仍然是全世界发病率和死亡率的主要原因之一,部分原因是由于抗疟疾药物的寄生虫耐药性的出现。药物的体外测试可以及早发现耐药性。用于监测电阻的常用参数是抑制50%寄生虫活性的浓度(IC(50))。已经使用了各种计算方法,但是没有一种方法考虑新的可用工具,也没有显示IC(50)估算的精度。我们提出了一种基于抑制性乙状结肠E(max)模型的方法,该模型在药理学中经常使用,使用R软件的标准函数通过非线性回归估算IC(50)。为了促进该工具的使用,我们开发了在线版本,可在ICEstimator网站上使用(ICEstimator网站http://www.antimalarial-icestimator.net/,2009)[1]。该网站被世界各地的各个团队使用,并且用户可以使用GUI进行分析而无需了解R。本文介绍了该网站的2.1版,并显示了五个不同的实际示例的说明。

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