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 and Experimental Therapeutics]
卷期号:73 (4): 1698-1736 被引量:104
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
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
欢喜灭龙完成签到,获得积分10
刚刚
李昆朋完成签到,获得积分10
刚刚
舒适玉米关注了科研通微信公众号
刚刚
刻苦的秋柔完成签到,获得积分10
刚刚
刚刚
高兴的平露完成签到,获得积分10
刚刚
慕辰发布了新的文献求助10
3秒前
小烦同学发布了新的文献求助10
3秒前
3秒前
不爱看发布了新的文献求助10
3秒前
5秒前
5秒前
小二郎应助yyyyyge采纳,获得10
6秒前
6秒前
6秒前
6秒前
研友_Z6k5Q8完成签到 ,获得积分10
7秒前
7秒前
angel发布了新的文献求助10
7秒前
孤独麦片发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
Ava应助JYY采纳,获得10
8秒前
yixi发布了新的文献求助10
9秒前
完美世界应助womodou采纳,获得10
9秒前
10秒前
彭于晏应助洛小叶采纳,获得30
10秒前
zhk完成签到,获得积分10
10秒前
高高发布了新的文献求助10
10秒前
科研通AI5应助鼻涕泡采纳,获得10
11秒前
12秒前
lxqd1发布了新的文献求助10
12秒前
迷你的可仁完成签到,获得积分10
12秒前
13秒前
Orange应助落寞砖家采纳,获得10
13秒前
zzznznnn发布了新的文献求助10
13秒前
孤独麦片完成签到,获得积分10
13秒前
意义完成签到,获得积分10
14秒前
自觉的小凝完成签到,获得积分20
14秒前
高分求助中
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Epigenetic Drug Discovery 500
Hardness Tests and Hardness Number Conversions 300
Knowledge management in the fashion industry 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3816738
求助须知:如何正确求助?哪些是违规求助? 3360137
关于积分的说明 10406832
捐赠科研通 3078164
什么是DOI,文献DOI怎么找? 1690598
邀请新用户注册赠送积分活动 813910
科研通“疑难数据库(出版商)”最低求助积分说明 767889