Quantifying the chemical beauty of drugs

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 工程类 哲学 基因 生物化学 程序设计语言 计算机安全
作者
G. Richard Bickerton,Gaia V. Paolini,Jérémy Besnard,Sorel Mureşan,Andrew L. Hopkins
出处
期刊:Nature Chemistry [Springer Nature]
卷期号:4 (2): 90-98 被引量:1833
标识
DOI:10.1038/nchem.1243
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
JamesPei应助杨杨采纳,获得10
刚刚
Jodie发布了新的文献求助50
刚刚
天天快乐应助astiria采纳,获得10
刚刚
刚刚
刚刚
1秒前
华仔应助淡定沛珊采纳,获得10
1秒前
1秒前
1秒前
夏洛克发布了新的文献求助10
1秒前
文艺的风华完成签到,获得积分10
2秒前
苏su发布了新的文献求助10
2秒前
隐形曼青应助Gaowenjie采纳,获得30
2秒前
李1应助见雨鱼采纳,获得10
2秒前
李健的粉丝团团长应助wqx采纳,获得10
3秒前
Goro完成签到,获得积分10
3秒前
3秒前
4秒前
4秒前
雨洋完成签到,获得积分10
4秒前
畅快芾完成签到,获得积分10
4秒前
buno发布了新的文献求助10
4秒前
waldo发布了新的文献求助10
4秒前
4秒前
EROS完成签到 ,获得积分10
4秒前
5秒前
5秒前
5秒前
liu发布了新的文献求助10
5秒前
冯宝宝完成签到,获得积分10
6秒前
tang完成签到,获得积分10
6秒前
7秒前
7秒前
DOZEN发布了新的文献求助10
7秒前
8秒前
8秒前
脑洞疼应助痴情的雁易采纳,获得10
8秒前
zlz发布了新的文献求助10
9秒前
Claudplz完成签到,获得积分10
9秒前
今后应助翊然甜周采纳,获得10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
First commercial application of ELCRES™ HTV150A film in Nichicon capacitors for AC-DC inverters: SABIC at PCIM Europe 1000
Feldspar inclusion dating of ceramics and burnt stones 1000
Digital and Social Media Marketing 600
Zeolites: From Fundamentals to Emerging Applications 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5992066
求助须知:如何正确求助?哪些是违规求助? 7441496
关于积分的说明 16064502
捐赠科研通 5133943
什么是DOI,文献DOI怎么找? 2753723
邀请新用户注册赠送积分活动 1726516
关于科研通互助平台的介绍 1628450