Showing 10 open source projects for "docking"

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  • 1
    MzDOCK - Multiple Ligand Docking Tool

    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 .
    Downloads: 44 This Week
    Last Update:
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  • 2
    PyRx - Virtual Screening Tool

    PyRx - Virtual Screening Tool

    Virtual Screening software for Computational Drug Discovery

    ...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. PyRx also includes chemical spreadsheet-like functionality and powerful visualization engine that are essential for Rational Drug Design. Please visits PyRx home page to learn more about PyRx and watch videos on how to use it.
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    Downloads: 1,719 This Week
    Last Update:
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  • 3
    rDock

    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.
    Downloads: 5 This Week
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  • 4

    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.
    Downloads: 0 This Week
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  • 5

    (NCS) NEQUIM Contact System

    Tool for analyze of interactions in ligand-protein complexes

    ...Core features include multiple views of vectors, multiple selection options, cluster analysis and generation of interaction vector model. The input could be from PDB format or from files generated by automatic docking softwares AutoDock/Vina or Surflex.
    Downloads: 0 This Week
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  • 6

    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.
    Downloads: 0 This Week
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  • 7
    PTools
    PTools : a C++/Python library for macromolecular docking
    Downloads: 0 This Week
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  • 8
    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.
    Downloads: 0 This Week
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  • 9
    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.
    Downloads: 0 This Week
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  • 10
    Ducking is a software who is providing simulation of probable docking between two proteins using rigid body monte carlo method. It is written in python and uses the libraries wxPython, VTK, SciPy and BioPython.
    Downloads: 0 This Week
    Last Update:
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