Structure-Based Virtual Screening for Ligands of G Protein–Coupled Receptors: What Can Molecular Docking Do for You?

对接(动物) 虚拟筛选 G蛋白偶联受体 受体 计算机科学 药物设计 计算生物学 纳米技术 药物发现 生物信息学 生物 医学 生物化学 材料科学 护理部
作者
Flavio Ballante,Albert J. Kooistra,Stefanie Kampen,Chris de Graaf,Jens Carlsson
出处
期刊:Pharmacological Reviews [American Society for Pharmacology & Experimental Therapeutics]
卷期号:73 (4): 1698-1736 被引量:60
标识
DOI:10.1124/pharmrev.120.000246
摘要

G protein-coupled receptors (GPCRs) constitute the largest family of membrane proteins in the human genome and are important therapeutic targets. During the last decade, the number of atomic-resolution structures of GPCRs has increased rapidly, providing insights into drug binding at the molecular level. These breakthroughs have created excitement regarding the potential of using structural information in ligand design and initiated a new era of rational drug discovery for GPCRs. The molecular docking method is now widely applied to model the three-dimensional structures of GPCR-ligand complexes and screen for chemical probes in large compound libraries. In this review article, we first summarize the current structural coverage of the GPCR superfamily and the understanding of receptor-ligand interactions at atomic resolution. We then present the general workflow of structure-based virtual screening and strategies to discover GPCR ligands in chemical libraries. We assess the state of the art of this research field by summarizing prospective applications of virtual screening based on experimental structures. Strategies to identify compounds with specific efficacy and selectivity profiles are discussed, illustrating the opportunities and limitations of the molecular docking method. Our overview shows that structure-based virtual screening can discover novel leads and will be essential in pursuing the next generation of GPCR drugs. SIGNIFICANCE STATEMENT: Extraordinary advances in the structural biology of G protein-coupled receptors have revealed the molecular details of ligand recognition by this large family of therapeutic targets, providing novel avenues for rational drug design. Structure-based docking is an efficient computational approach to identify novel chemical probes from large compound libraries, which has the potential to accelerate the development of drug candidates.
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
薛乎虚完成签到 ,获得积分10
刚刚
1秒前
语物发布了新的文献求助10
1秒前
多多完成签到,获得积分10
2秒前
刘鹏宇发布了新的文献求助10
2秒前
暴富小羊发布了新的文献求助10
5秒前
5秒前
共享精神应助贪玩的丹蝶采纳,获得30
5秒前
思源应助科研dog采纳,获得10
7秒前
完美的德地完成签到,获得积分20
8秒前
8秒前
9秒前
runrun完成签到,获得积分20
9秒前
10秒前
我先睡了发布了新的文献求助10
10秒前
zhangyafei完成签到,获得积分10
10秒前
Yanni发布了新的文献求助10
10秒前
艺术大师完成签到,获得积分20
10秒前
11秒前
Jasper应助禾禾采纳,获得10
12秒前
14秒前
多多发布了新的文献求助10
15秒前
15秒前
搜集达人应助Fancy采纳,获得10
16秒前
小马甲应助刘鹏宇采纳,获得10
16秒前
17秒前
靳佳小台发布了新的文献求助10
17秒前
18秒前
落叶无悔发布了新的文献求助10
18秒前
19秒前
19秒前
owoow发布了新的文献求助10
19秒前
19秒前
19秒前
Allen发布了新的文献求助10
20秒前
正直的香寒完成签到,获得积分10
20秒前
Yeah_椰椰发布了新的文献求助10
20秒前
艺术大师发布了新的文献求助10
22秒前
鳗鱼盼夏发布了新的文献求助10
23秒前
23秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi 400
Classics in Total Synthesis IV 400
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 3149784
求助须知:如何正确求助?哪些是违规求助? 2800775
关于积分的说明 7841901
捐赠科研通 2458351
什么是DOI,文献DOI怎么找? 1308425
科研通“疑难数据库(出版商)”最低求助积分说明 628499
版权声明 601706