Relevance of Molecular Docking Studies in Drug Designing

计算生物学 对接(动物) 化学 计算机科学 蛋白质-配体对接 药物发现 虚拟筛选 生物信息学 生物 医学 护理部
作者
Ritu Jakhar,Mehak Dangi,Alka Khichi,Anil Kumar Chhillar
出处
期刊:Current Bioinformatics [Bentham Science]
卷期号:15 (4): 270-278 被引量:116
标识
DOI:10.2174/1574893615666191219094216
摘要

Molecular Docking is used to positioning the computer-generated 3D structure of small ligands into a receptor structure in a variety of orientations, conformations and positions. This method is useful in drug discovery and medicinal chemistry providing insights into molecular recognition. Docking has become an integral part of Computer-Aided Drug Design and Discovery (CADDD). Traditional docking methods suffer from limitations of semi-flexible or static treatment of targets and ligand. Over the last decade, advances in the field of computational, proteomics and genomics have also led to the development of different docking methods which incorporate protein-ligand flexibility and their different binding conformations. Receptor flexibility accounts for more accurate binding pose predictions and a more rational depiction of protein binding interactions with the ligand. Protein flexibility has been included by generating protein ensembles or by dynamic docking methods. Dynamic docking considers solvation, entropic effects and also fully explores the drug-receptor binding and recognition from both energetic and mechanistic point of view. Though in the fast-paced drug discovery program, dynamic docking is computationally expensive but is being progressively used for screening of large compound libraries to identify the potential drugs. In this review, a quick introduction is presented to the available docking methods and their application and limitations in 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
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
以琳完成签到,获得积分20
刚刚
jane完成签到 ,获得积分10
1秒前
liuzr完成签到 ,获得积分10
1秒前
1秒前
李心雨完成签到,获得积分10
1秒前
2秒前
lxh发布了新的文献求助10
3秒前
3秒前
4秒前
科研通AI2S应助BBK采纳,获得50
4秒前
6秒前
小智发布了新的文献求助10
7秒前
7秒前
7秒前
完美世界应助YUMI采纳,获得10
8秒前
甜甜玫瑰应助Stone采纳,获得10
8秒前
所所应助Stone采纳,获得10
8秒前
9秒前
8R60d8应助科研通管家采纳,获得10
9秒前
科研通AI2S应助科研通管家采纳,获得10
10秒前
CipherSage应助科研通管家采纳,获得10
10秒前
爆米花应助科研通管家采纳,获得30
10秒前
上官若男应助科研通管家采纳,获得30
10秒前
科研通AI2S应助科研通管家采纳,获得10
10秒前
Moira完成签到,获得积分10
10秒前
天天快乐应助科研通管家采纳,获得10
10秒前
Hello应助科研通管家采纳,获得10
10秒前
doubleshake发布了新的文献求助10
10秒前
爆米花应助科研通管家采纳,获得10
10秒前
科研通AI2S应助科研通管家采纳,获得10
10秒前
彭于晏应助科研通管家采纳,获得10
10秒前
小蘑菇应助科研通管家采纳,获得10
10秒前
10秒前
CipherSage应助科研通管家采纳,获得20
10秒前
小蘑菇应助科研通管家采纳,获得10
10秒前
11秒前
狂野芷卉发布了新的文献求助10
12秒前
shinyuliu完成签到,获得积分10
12秒前
爆米花应助着急的白羊采纳,获得10
14秒前
14秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
歯科矯正学 第7版(或第5版) 1004
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 1000
Semiconductor Process Reliability in Practice 1000
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Security Awareness: Applying Practical Cybersecurity in Your World 6th Edition 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
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 3241487
求助须知:如何正确求助?哪些是违规求助? 2885956
关于积分的说明 8241111
捐赠科研通 2554477
什么是DOI,文献DOI怎么找? 1382579
科研通“疑难数据库(出版商)”最低求助积分说明 649608
邀请新用户注册赠送积分活动 625279