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
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.
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