Search Results for "virtual screening"
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Showing 17 open source projects for "virtual screening"
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PyRx - Virtual Screening Tool
Virtual Screening software for Computational Drug Discovery
PyRx is a Virtual Screening software for Computational Drug Discovery that can be used to screen libraries of compounds against potential drug targets. PyRx enables Medicinal Chemists to run Virtual Screening from any platform and helps users in every step of this process - from data preparation to job submission and analysis of the results. While it is true that there is no magic button in the drug discovery process, PyRx includes docking wizard with easy-to-use user interface which makes it a valuable tool for Computer-Aided Drug Design. ... -
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MzDOCK - Multiple Ligand Docking Tool
MzDOCK is A Virtual Screening Tool For Drug Discovery Research
- Molecular Docking Virtual Screening Tool To Aid In Drug Discovery Research. - Published in Wiley, Journal of Computational Chemistry . Link: https://onlinelibrary.wiley.com/doi/abs/10.1002/jcc.27390 - Developed with Synchronized functioning of Python and Batch scripts -Integerated With Pymol-open-source for visualizing interaction (PSE file) generated from MzDOCK - Integrated with Molecule Drawing Tool - JSME Editor - If you are facing any issues or for queries . ... -
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pharmit
Open-source online virtual screening tools for large databases
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AutoDockParser
A tool for efficient processing of Docking results
AutoDock Suit is one of the most popular software for performing Molecular Docking and Virtual Screening. This suit offers two programs AutoDock and AutoDock Vina. AutoDock provides its output as Docking Log Files (DLG files), while the latter outputs in pdbqt format. Post-processing of these results has long remained a manual job and hence various protocols and workflows are designed that are user-specific. Manual processing of these results for subsequent interaction analysis has remained a time-consuming and apparently mundane task. ... -
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prediction_of_ic50
prediction of ic50 for different cancer cell lines
We have developed the web server for prediction of ic50 for different cancer cell lines, such as for lung cancer A549 cell lines, for colorectal cancer HCT116 cell lines, for blood cancer K562 cell lines. This helps the user to predict the ic50 value, lower the ic50 value indicate the more potency of compound. This information might help in lead optimization, virtual screening, etc. -
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Jupyter Dock
Perform molecular docking protocols interactively
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results. These notebooks are Python 3 compatible. Each protocol and Jupyter notebook has its own test folder for testing and reproducibility evaluation. For all notebooks, the demonstration includes the use of AutoDock Vina and Ledock. When available, some alternatives are mentioned in the protocol. Jupyter Dock's initial goal... -
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SMSD
SMSD is a Java based software library for calculating MCS.
SMSD is a Java based software library for calculating Maximum Common Subgraph (MCS) between small molecules. This will help us to find similarity/distance between two molecules. MCS is also used for screening drug like compounds by hitting molecules, which share common subgraph (substructure). -
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PSOVina 2.0
The Hybrid Particle Swarm Optimization for Protein-Ligand Docking
A fast docking tool based on the efficient optimization algorithm of Particle Swarm Intelligence and the framework of AutoDock Vina. Based on the initial PSO implementation, our PSOVina method has undergone several important improvements to enhance the docking accuary and achieve remarkable efficiency as compared to the original AutoDock Vina. https://cbbio.online/software/psovina/index.html -
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rDock
A Fast, OpenSource Program for Docking Ligands to Proteins and N.Acids
rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS) campaigns and Binding Mode prediction studies. rDock is mainly written in C++ and accessory scripts and programs are written in C++, perl or python languages. The full rDock software package requires less than 50 MB of hard disk space and it is compilable in all Linux computers. Thanks to its design and implementation, it can be installed on a computation cluster and deployed on an unlimited number of CPUs, allowing HTVS campaigns to be carried out in a matter of days. ... -
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VSViewer3D
3D Virtual Screening Viewer
This project is an interactive viewer for 3D virtual screening data. -
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CS Miner
A tool for Navigating in Chemical Space
CS-Miner stands for Chemical Space Miner and is a software tool for navigating in chemical space of compound databases. It helps for deriving appropriate classification models and performing virtual screening. Download it via: http://csminer.com/csm/?p=7 A quick tutorial is available through: http://csminer.com/csm/?p=8 -
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AUDocker is a GUI for AutoDock Vina.. helps in virtual screening of huge number of ligands continuously. Helps in resumption of work in accidental shutdowns..
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ParallelVSR
ParallelVSR - a pipeline for parallel virtual screening on R platform
ParallelVSR is a cheminformatics pipeline for parallel Virtual Screening (VS) on R platform. With the added advantage of simplicity in using this pipeline, ParallelVSR is designed to meet the challenge of speed in VS. We have integrated Ligand Based Virtual Screening (LBVS) technique which uses ChemmineR - a reliable cheminformatics package on R platform and Structure Based Virtual Screening (SBVS) technique which uses AutoDock Vina - freely available and widely used protein-ligand docking tool. ... -
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OFF-TARGET PIPELINE is a platform intended to carry out a recently introduced chemical systems biology approach for secondary target identification, but may also be useful to other applications in bioinformatics and drug discovery.
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ScreeningAssistant is a software based on JOELib and dedicated to the management of chemical databases. It allows the user to select a set of compounds for screening tests (High Throughput Screening or Virtual Screening).
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ChemCpp is a C++ toolbox for chemoinformatics focusing on the computation of kernel functions between chemical compounds. Together with Support Vector Machines, these kernel functions find natural applications for virtual screening of molecules.
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