An Ion Channel Library for Drug Discovery and Safety Screening on Automated Platforms

药物发现 离子通道 中国仓鼠卵巢细胞 赫尔格 计算生物学 高通量筛选 药品 生物 生物信息学 计算机科学 药理学 细胞培养 钾通道 遗传学 受体 生物物理学
作者
Barbara A. Wible,Yuri A. Kuryshev,Stephen S. Smith,Zhiqi Liu,Arthur M. Brown
出处
期刊:Assay and Drug Development Technologies [Mary Ann Liebert]
卷期号:6 (6): 765-780 被引量:19
标识
DOI:10.1089/adt.2008.171
摘要

Ion channels represent the third largest class of targets in drug discovery after G-protein coupled receptors and kinases. In spite of this ranking, ion channels continue to be underexploited as drug targets compared with the other two groups for several reasons. First, with ∼400 ion channel genes and an even greater number of functional channels due to mixing and matching of individual subunits, a systematic collection of ion channel-expressing cell lines for drug discovery and safety screening has not been available. Second, the lack of high-throughput functional assays for ion channels has limited their use as drug targets. Now that automated electrophysiology has come of age and provided the technology to assay ion channels at medium to high throughput, we have addressed the need for a library of ion channel cell lines by constructing the Ion Channel Panel™ (ChanTest Corp., Cleveland, OH). From 400 ion channel genes, a collection of 82 of the most relevant human ion channels for drug discovery, safety, and human disease has been assembled. Each channel has been stably overexpressed in human embryonic kidney 293 or Chinese hamster ovary cells. Cell lines have been selected and validated on automated electrophysiology systems to facilitate cost-effective screening for safe and selective compounds at earlier stages in the drug development process. The screening and validation processes as well as the relative advantages of different screening platforms are discussed.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Cutewm发布了新的文献求助10
刚刚
2秒前
3秒前
5秒前
汉堡包应助Cutewm采纳,获得10
6秒前
香蕉觅云应助霸气的梦露采纳,获得10
7秒前
高挑的若雁完成签到 ,获得积分10
8秒前
YA完成签到,获得积分10
8秒前
CC完成签到,获得积分10
8秒前
9秒前
9秒前
bkagyin应助幸运鸡蛋灌饼采纳,获得10
9秒前
9秒前
li77完成签到,获得积分20
10秒前
13秒前
li77发布了新的文献求助10
14秒前
14秒前
轮海完成签到,获得积分10
14秒前
15秒前
AFong完成签到 ,获得积分10
15秒前
藤藤完成签到,获得积分10
15秒前
Jasper应助任性的咖啡采纳,获得10
16秒前
17秒前
sln完成签到,获得积分20
17秒前
18秒前
无风完成签到 ,获得积分10
18秒前
ZhangDaying完成签到 ,获得积分10
18秒前
Cutewm完成签到,获得积分10
18秒前
Hl关闭了Hl文献求助
20秒前
今后应助777采纳,获得10
20秒前
天天快乐应助tanjuan采纳,获得10
21秒前
呆萌雪晴完成签到,获得积分20
22秒前
wangcc发布了新的文献求助80
23秒前
23秒前
柳叶小弯刀完成签到,获得积分10
24秒前
zoie0809完成签到,获得积分10
25秒前
香蕉觅云应助Dasph7采纳,获得10
26秒前
27秒前
27秒前
28秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3304447
求助须知:如何正确求助?哪些是违规求助? 2938403
关于积分的说明 8488621
捐赠科研通 2612878
什么是DOI,文献DOI怎么找? 1426966
科研通“疑难数据库(出版商)”最低求助积分说明 662879
邀请新用户注册赠送积分活动 647376