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论定量构效关系(QSAR)的可解释性。

On the interpretability of quantitative structure-activity relationships (QSAR).

作者信息

Franke R

出版信息

Farmaco Sci. 1979 Jun;34(6):545-70.

PMID:467631
Abstract

QSAR are a powerful tool to obtain information on the molecular mechanism of drug action as well as on properties of receptors. They can be evaluated at different levels of sophistication using different parameters to describe physical chemical properties of the drugs and different mathematical methods. In this presentation only QSAR at the level of extrathermodynamic parameters will be considered. Interpretation of QSAR is always connected with two basic questions: 1) Which requirements must be met in order to get meaningful (interpretable) QSAR and what can be done to satisfy these requirements? 2) What information can be gained (and in which way) from QSAR? Some of the most important aspects of these questions to be discussed in this paper are: 1) Interrelationships between parameters and the separability of hydrophobic, electronic and steric effects. 2) Description of hydrophobic interactions. 3) Separation of hydrophobic effects connected with transport and hydrophobic bonding. 4) Estimation of the biological point of attack. 5) Selection and informational content of biological response data. Factor analysis will be shown to be a useful data preprocessing step allowing one to systematize data and to recognize and to eliminate collinearities. Another multivariate method, principal component analysis, may be used to separate pharmacokinetic and pharmacodynamic effects.

摘要

定量构效关系是获取有关药物作用分子机制以及受体性质信息的有力工具。可以使用不同参数来描述药物的物理化学性质,并采用不同数学方法,在不同复杂程度水平上对其进行评估。在本报告中,仅考虑基于超热力学参数水平的定量构效关系。定量构效关系的解释始终与两个基本问题相关:1)为了获得有意义(可解释)的定量构效关系必须满足哪些要求,以及如何做才能满足这些要求?2)从定量构效关系中可以获得(以及以何种方式获得)哪些信息?本文将讨论这些问题的一些最重要方面:1)参数之间的相互关系以及疏水、电子和空间效应的可分离性。2)疏水相互作用的描述。3)与转运相关的疏水效应和疏水键合的分离。4)生物攻击点的估计。5)生物反应数据的选择和信息内容。因子分析将被证明是一个有用的数据预处理步骤,可使数据系统化,并识别和消除共线性。另一种多元方法,主成分分析,可用于分离药代动力学和药效学效应。

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