VinaLigGen: a method to generate LigPlots and retrieval of hydrogen and hydrophobic interactions from protein-ligand complexes

虚拟筛选 可执行文件 计算机科学 Python(编程语言) 对接(动物) 蛋白质配体 氢键 自动化 配体(生物化学) 化学 蛋白质-蛋白质相互作用 药物发现 疏水效应 程序设计语言 分子 工程类 生物化学 医学 机械工程 受体 护理部 有机化学
作者
Raghvendra Agrawal,H. B. Punarva,Gagan O. Heda,Y. M. Vishesh,Prashantha Karunakar
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:: 1-4 被引量:14
标识
DOI:10.1080/07391102.2023.2266524
摘要

Developments in the field of computational structural biology and with increasing computing speeds have encouraged researchers in studying large compound libraries during the virtual screening. After performing molecular docking, the consideration of vina score in filtering the compounds without collecting the hydrogen bond or hydrophobic interaction between protein and ligand complex leads to missing multiple good lead molecules. The tools used for virtual screening in drug design and discovery studies were previously designed and developed for small datasets. LigPlots were used to generate 2-dimensional (2D) interaction maps of protein-ligand complexes. These maps depict diverse bonds like hydrogen and hydrophobic interactions in varied colors for all ligand conformations within the library. However, handling large numbers of protein-ligand complexes can make this process quite laborious. The development of a tool is strongly required or an implementation of automation to generate all the interaction details has a strong demand. This paper describes an implementation of an automation technique on the executable programs like ligplot.exe, hbplus.exe and hbadd.exe to obtain the 2D interaction map (LigPlots) of the protein and ligand complex (*.ps) and hydrogen bonds and hydrophobic interactions in *.csv format for molecules to be considered for virtual screening by using some sorting & searching algorithms and python's file handling functions, and it also mentions the program's limitations and availability of the program. The program can be found on github.Communicated by Ramaswamy H. Sarma.
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
liu发布了新的文献求助10
刚刚
走四方应助RRROP采纳,获得10
1秒前
2秒前
豆豆发布了新的文献求助10
3秒前
睡前吃太饱了完成签到,获得积分10
3秒前
4秒前
4秒前
5秒前
智丹完成签到,获得积分10
6秒前
7秒前
脑洞疼应助liu采纳,获得10
7秒前
9秒前
鲤鱼懿轩发布了新的文献求助10
9秒前
从容秋寒发布了新的文献求助10
11秒前
顾易完成签到,获得积分10
11秒前
12秒前
SYLH应助xm采纳,获得10
12秒前
BioRick发布了新的文献求助10
13秒前
NexusExplorer应助a1313采纳,获得10
13秒前
Epiphany完成签到,获得积分10
14秒前
14秒前
ding应助aibiotech采纳,获得10
16秒前
小四发布了新的文献求助10
16秒前
豆豆完成签到,获得积分10
17秒前
SciGPT应助第七个星球采纳,获得10
18秒前
18秒前
19秒前
777发布了新的文献求助10
19秒前
从容秋寒完成签到,获得积分20
20秒前
科研通AI5应助罗明芳采纳,获得10
20秒前
leilei完成签到 ,获得积分10
20秒前
陈述发布了新的文献求助10
21秒前
bone完成签到,获得积分10
22秒前
李李发布了新的文献求助20
22秒前
23秒前
未青易发布了新的文献求助10
23秒前
寒战发布了新的文献求助10
23秒前
24秒前
啦啦啦啦啦完成签到 ,获得积分10
24秒前
24秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
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 3740976
求助须知:如何正确求助?哪些是违规求助? 3283817
关于积分的说明 10036983
捐赠科研通 3000610
什么是DOI,文献DOI怎么找? 1646618
邀请新用户注册赠送积分活动 783804
科研通“疑难数据库(出版商)”最低求助积分说明 750427