Search Results for "molecular docking"
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Showing 14 open source projects for "molecular docking"
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Docking-Affinity-Plotter
Docking Affinity Plotter: Visualize and analyze binding affinity data.
Docking Affinity Plotter: Visualize and analyze binding affinity data from molecular docking experiments. This desktop GUI tool allows researchers to load docking results, generate insightful plots, and create a PDF report. Features ✅ CSV File Loading: Accepts docking results with ligand names, binding affinity, RMSD upper bound (rmsd/ub), and RMSD lower bound (rmsd/lb) -
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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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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. -
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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... -
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MOLS 2.0 is a free and open-source software package for peptide modeling and protein-ligand docking. Authors: Dr. D. Sam Paul, Dr. S. Nehru Viji, Dr. P. Arun Prasad, Dr. K. Vengadesan, Dr. N. Gautham. If you use MOLS 2.0 for publication, please cite - D. Sam Paul, N. Gautham, MOLS 2.0: software package for peptide modeling and protein–ligand docking, Journal of Molecular Modeling 22 (2016) 1–9. Publications related to MOLS 2.0: 1.
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Jupyter Dock
Perform molecular docking protocols interactively
...When available, some alternatives are mentioned in the protocol. Jupyter Dock's initial goal was to provide a set of pythonic protocols for molecular docking. Nonetheless, there is a dearth of docking tools in Python for all of the steps and protocols (i.e. pocket search for blind docking). Furthermore, the majority of well-known and widely used molecular docking software have been developed as stand-alone executables or as components of software suites. -
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DockStream
A Docking Wrapper to Enhance De Novo Molecular Design
DockStream is a docking wrapper providing access to a collection of ligand embedders and docking backends. Docking execution and post hoc analysis can be automated via the benchmarking and analysis workflow. The flexilibity to specifiy a large variety of docking configurations allows tailored protocols for diverse end applications. DockStream can also parallelize docking across CPU cores, increasing throughput. DockStream is integrated with the de novo design platform, REINVENT, allowing one... -
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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... -
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irayMol
Molecular visualization
Analyses and Interactive visualizations of the structures, functions and actions of biomolecules including molecular surface computation, and protein-ligand interface and protein-ligand docking where the ligand could a small compound, a nucleic acid, membrane and other proteins, written in C++/Qt/openGL/GLSL with more than 125,000 lines of codes. In addition to Qt, the only external library needed is GSL everything else is coded from the scratch. -
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AutoMap
AutoMap is a tool for structural biology and drug design.
AutoMap takes a series of poses obtained from molecular docking and applies the site, epitope and conformational mapping techniques to the poses to select likely ligand binding modes. -
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LiS Chemical Informatics
Gerald Lushington's chemical informatics development
...Software from this site may be used freely and revised as is useful, with the proviso that credit be given in the form of citation or link back to http://gerrylushington.users.sourceforge.net/. The latest tool deposited here (see Code directory) is designed to graphically render (in PyMol) spatial affinity trends derived from molecular docking simulations. Additional tools will be deposited here as time permits. About the developer: Gerald Lushington is a computational scientist with primary interests in chemical informatics, structural biology, drug discovery and molecular modeling. He performs fee-for-service consulting in these areas, as well as data mining and technical writing. -
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Extraction of binding sites of ligands and search for unknown binding sites on apoproteins. Some call it docking. Some call it binding site detections. Some call it knowledge based.
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Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.
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ddutils (drug design utils) contains programs and libraries applied in drug design. It is designed to cover all fields in CADD, such as ADME, QSAR, MD, molecular docking, solvation effect and free energy prediction.
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