High-throughput virtual screening (HTVS) is a pivotal technique in drug discovery that screens extensive libraries of compounds to find potential drug candidates. One of the essential tasks in HTVS is to ensure that ligands are binding within the protein’s binding pocket. This task can be particularly challenging when dealing with thousands of docking results. To address this challenge, we present a Python script that automates the analysis of molecular docking results generated by AutoDock Vina [1] using PyMOL [2]. This script calculates the center of mass (COM) for each docked pose, compares it with a reference ligand’s COM, and identifies poses that bind within a specified threshold distance. This process is crucial in mass docking scenarios where confirming ligand binding within the pocket is necessary. (more…)

Virtual screening (VS) is a crucial aspect of bioinformatics. As you may already know, there are various tools available for this purpose, including both paid and freely accessible options such as Autodock Vina. Conducting virtual screening with Autodock Vina requires less effort than analyzing its results. However, the analysis process can be challenging due to the large number of output files generated. To address this, we offer a comprehensive Python package designed to automate the analysis of virtual screening results.

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Analyzing the results of virtual screening (VS) performed with Autodock Vina [1] can be challenging when done manually. In earlier instances, we supplied two scripts, namely vs_analysis.py [2,3] and vs_analysis_compounds.py [4]. This time, we have developed a new Python script to simplify the analysis of VS results.

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DockingPie [1] is a PyMOL plugin to perform computational docking within PyMOL [2]. In this article, we will perform simple docking using DockingPie1.2.

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DockingPie [1] is a plugin of PyMOL [2] made to fulfill the purpose of docking within the PyMOL interface. This plugin will allow you to dock using four different algorithms, namely, Vina, RxDock, SMINA, and ADFR. It will also allow you to perform flexible docking. Though the installation procedure is the same for all OSs, in this article, we are installing this plugin on Ubuntu (Linux).

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Pyrx [1] is another virtual screening software that also offers to perform docking using Autodock Vina. In this article, we will install Pyrx on Windows. (more…)

Autodock suite is used for docking small molecules [1]. Recently, Autodock-GPU [2] is developed to accelerate the docking process. Its installation is described in this article. In this tutorial, we will install Autodock 4.2.6 on Ubuntu.

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After performing computational docking, a question that comes to mind most is “what docking score is considered good or bad”. In this article, we will discuss this in detail. (more…)

Previously, we have provided a Python script (vs_analysis.py) to analyze the virtual screening (VS) results of Autodock Vina. Now, we have updated this script to sort binding affinities based on user inputted cutoff value. (more…)

Virtual Screening (VS) is one of the important techniques in bioinformatics. It can be easily performed using Autodock Vina. We have provided detailed articles on this topic. In this article, we are trying to answer some FAQs for beginners. (more…)

Proteins containing zinc atoms are docked in a different way than that of the normal simple proteins. Zinc atoms must be considered by a force field during the docking process. In this article, we are going to dock zinc metalloprotein with a ligand using Autodock Vina [1]. (more…)

A configuration file is one of the required files for docking using Autodock Vina. In this article, we are going to generate a config file using Autodock Tools GUI [1]. (more…)

Autodock [1] is most widely used for docking. To accelerate the docking process, especially, during virtual screening, Autodock-GPU [2] provides great help. In this article, we are going to install Autodock-GPU on Ubuntu. (more…)

Autodock Vina [1] is one of the most widely used bioinformatics software for computational docking. For beginners and those who are new to the field of bioinformatics, such software may appear confusing without having an initial idea of what this software actually used for. In this article, we have discussed some of the primary uses and applications of Autodock Vina software. (more…)

Pyrx is a bioinformatics tool to perform virtual screening [1]. We previously provided an article on performing simple protein-ligand site-specific docking using Pyrx. In this article, we are going to perform virtual screening using Pyrx. (more…)

Previously, we provided a tutorial on the installation of idock on Ubuntu (Linux). In this article, we are going to demonstrate the docking of a metal ion (such as Zn, Mg, Fe, etc.,) with a protein using idock. (more…)

idock [1] is a multithreaded software based on Autodock Vina. It is a virtual screening tool for flexible ligand docking. It also supports 27 different chemical elements including zinc, magnesium, iron, calcium, etc. In this article, we are going to install idock on Ubuntu. (more…)

In one of our previously published articles, we demonstrated protein-protein docking using HADDOCK2.4 [1]. In this article, we are going to demonstrate the HADDOCK results analysis using a Pymol script generated from the PRODIGY server [2]. (more…)

PatchDock is a docking algorithm that is based on the shape complementarity principle [1,2]. It performs molecular docking of any two types of molecules including proteins, DNA, drugs, and peptides. In this article, we are going to install PatchDock on Ubuntu (Linux). (more…)

HADDOCK2.4 web server (https://bianca.science.uu.nl/haddock2.4/) [1] is used for protein-protein docking and their modeling. Not only proteins, but it can also process peptides, small molecules, and nucleic acids. In this article, we are going to perform protein-protein docking. (more…)