可药性
化学
度量(数据仓库)
质量(理念)
药物发现
集合(抽象数据类型)
钥匙(锁)
财产(哲学)
生化工程
计算机科学
认识论
数据挖掘
生物化学
哲学
计算机安全
工程类
基因
程序设计语言
作者
G. Richard Bickerton,Gaia V. Paolini,Jérémy Besnard,Sorel Mureşan,Andrew L. Hopkins
出处
期刊:Nature Chemistry
[Nature Portfolio]
日期:2012-01-24
卷期号:4 (2): 90-98
被引量:1756
摘要
Drug-likeness is a key consideration when selecting compounds during the early stages of drug discovery. However, evaluation of drug-likeness in absolute terms does not reflect adequately the whole spectrum of compound quality. More worryingly, widely used rules may inadvertently foster undesirable molecular property inflation as they permit the encroachment of rule-compliant compounds towards their boundaries. We propose a measure of drug-likeness based on the concept of desirability called the quantitative estimate of drug-likeness (QED). The empirical rationale of QED reflects the underlying distribution of molecular properties. QED is intuitive, transparent, straightforward to implement in many practical settings and allows compounds to be ranked by their relative merit. We extended the utility of QED by applying it to the problem of molecular target druggability assessment by prioritizing a large set of published bioactive compounds. The measure may also capture the abstract notion of aesthetics in medicinal chemistry. Drug-likeness is a key consideration when selecting compounds during the early stages of drug discovery, but its evaluation in absolute terms does not adequately reflect the spectrum of compound quality. Here, an intuitive and transparent quantitative measure of drug-likeness is proposed that attempts to capture the abstract notion of aesthetics in medicinal chemistry.
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