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中性和碱性药物人体分布容积值的预测。2. 扩展数据集和留类统计。

Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics.

作者信息

Lombardo Franco, Obach R Scott, Shalaeva Marina Y, Gao Feng

机构信息

Molecular Properties Group, Pfizer Global Research and Development, Groton Laboratories, Groton, Connecticut 06340, USA.

出版信息

J Med Chem. 2004 Feb 26;47(5):1242-50. doi: 10.1021/jm030408h.

Abstract

We present an extension and confirmation of our previously published method (J. Med. Chem. 2002, 45, 2867-2876) for the prediction of volume of distribution (VD) in humans for neutral and basic compounds. It is based on two experimentally determined physicochemical parameters, ElogD(7.4) and f(i(7.4)), the latter being the fraction of compound ionized at pH 7.4, and on the fraction of free drug in plasma (fu). By regressing the fraction unbound in tissues, fut, vs the above parameters, we demonstrate the ruggedness of the method in predicting VD through the Oie-Tozer equation, via the use of several testing approaches. A comparison is also presented between several methods based on animal pharmacokinetic data, using the same set of proprietary compounds, and it lends further support for the use of this method, as opposed to methods that require the gathering of pharmacokinetic data in laboratory animals. The reduction in the use of animals and the overall faster and cheaper accessibility of the parameters used make this method highly attractive for prospectively predicting the VD of new chemical entities in humans.

摘要

我们展示了对我们之前发表的方法(《药物化学杂志》2002年,45卷,2867 - 2876页)的扩展与验证,该方法用于预测中性和碱性化合物在人体中的分布容积(VD)。它基于两个实验测定的物理化学参数,ElogD(7.4) 和f(i(7.4)),后者是化合物在pH 7.4时的离子化分数,以及血浆中游离药物的分数(fu)。通过将组织中未结合的分数fut与上述参数进行回归分析,我们通过几种测试方法,利用Oie - Tozer方程证明了该方法在预测VD方面的稳健性。还使用同一组专利化合物,对基于动物药代动力学数据的几种方法进行了比较,这进一步支持了该方法的使用,与那些需要在实验动物中收集药代动力学数据的方法相比。减少动物的使用以及所用参数总体上更快且更便宜地获取,使得该方法对于前瞻性预测新化学实体在人体中的VD极具吸引力。

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