亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Trends in GPCR drug discovery: new agents, targets and indications

G蛋白偶联受体 药物发现 药品 医学 计算生物学 药理学 生物信息学 数据科学 受体 计算机科学 生物 内科学
作者
Alexander S. Hauser,Misty M. Attwood,Mathias Rask‐Andersen,Helgi B. Schiöth,David E. Gloriam
出处
期刊:Nature Reviews Drug Discovery [Nature Portfolio]
卷期号:16 (12): 829-842 被引量:2693
标识
DOI:10.1038/nrd.2017.178
摘要

G protein-coupled receptors (GPCRs) are the most intensively studied class of drug targets. This article presents a pioneering analysis of all GPCR-targeted drugs and agents that are currently in clinical trials, and discusses the trends across molecule types, drug targets and therapeutic indications. G protein-coupled receptors (GPCRs) are the most intensively studied drug targets, mostly due to their substantial involvement in human pathophysiology and their pharmacological tractability. Here, we report an up-to-date analysis of all GPCR drugs and agents in clinical trials, which reveals current trends across molecule types, drug targets and therapeutic indications, including showing that 475 drugs (~34% of all drugs approved by the US Food and Drug Administration (FDA)) act at 108 unique GPCRs. Approximately 321 agents are currently in clinical trials, of which ~20% target 66 potentially novel GPCR targets without an approved drug, and the number of biological drugs, allosteric modulators and biased agonists has increased. The major disease indications for GPCR modulators show a shift towards diabetes, obesity and Alzheimer disease, although several central nervous system disorders are also highly represented. The 224 (56%) non-olfactory GPCRs that have not yet been explored in clinical trials have broad untapped therapeutic potential, particularly in genetic and immune system disorders. Finally, we provide an interactive online resource to analyse and infer trends in GPCR drug discovery.
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
善良的梦桃完成签到,获得积分10
刚刚
molihuakai应助阳光初夏采纳,获得10
刚刚
蕃茄鱼应助晨曦采纳,获得10
9秒前
Copyright应助科研通管家采纳,获得10
10秒前
OK应助科研通管家采纳,获得20
11秒前
11秒前
蕃茄鱼应助陶1122采纳,获得10
20秒前
35秒前
37秒前
辉辉完成签到,获得积分10
37秒前
大个应助欣慰元蝶采纳,获得10
38秒前
40秒前
CL837809486发布了新的文献求助10
42秒前
44秒前
47秒前
49秒前
52秒前
欣慰元蝶发布了新的文献求助10
53秒前
chenzy完成签到,获得积分10
55秒前
christinao发布了新的文献求助10
1分钟前
疯狂花生完成签到 ,获得积分10
1分钟前
1分钟前
lucky完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
阳光初夏发布了新的文献求助10
1分钟前
小样完成签到 ,获得积分20
1分钟前
jcc完成签到,获得积分10
1分钟前
烟花应助anna采纳,获得10
1分钟前
1分钟前
Kao应助狂野的雨灵采纳,获得30
1分钟前
1分钟前
1分钟前
anna发布了新的文献求助10
1分钟前
十面埋伏发布了新的文献求助10
1分钟前
Copyright应助Bin_Liu采纳,获得10
1分钟前
1分钟前
2分钟前
衣裳薄完成签到,获得积分10
2分钟前
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
Organic Chemistry, 5th Edition 1000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 630
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7375762
求助须知:如何正确求助?哪些是违规求助? 8983489
关于积分的说明 19100999
捐赠科研通 7016951
什么是DOI,文献DOI怎么找? 3225915
关于科研通互助平台的介绍 2389293
邀请新用户注册赠送积分活动 2206610