Showing 9 open source projects for "docking protein"

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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 . Contact us -...
    Downloads: 52 This Week
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  • 2

    AutoDockParser

    A tool for efficient processing of Docking results

    ...Manual processing of these results for subsequent interaction analysis has remained a time-consuming and apparently mundane task. Manual processing involves dependency on various external software. AutoDock Parser offers automatic post-processing of the docking results obtained from AutoDock Suit. AutoDock Parser is a user-friendly tool aimed to minimize the efforts in the post-processing of docking results. It enables the user to create protein-ligand complexes from the input DLG/PDBQT files in a single step.
    Downloads: 13 This Week
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  • 3
    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.
    Downloads: 1 This Week
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  • 4

    ADFRsuite

    Automated docking software tools from the Sanner lab at Scripps

    the ADFRsuite provides a self contain python-based software environment with various tools for automated docking. visit ccsb.scripps.edu/adfr for more info
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    Downloads: 75 This Week
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  • 5
    GWOVina 1.0

    GWOVina 1.0

    The Hybrid Grey Wolf Optimization for Protein-Ligand Docking

    Protein-ligand docking programs are indispensable tools for predicting the binding pose of a ligand to the receptor protein. Based on the implementation of AutoDock Vina, GWOVina employs grey wolf optimization (GWO) algorithm to speed up the search for optimal ligand poses. Our rigid docking experiments show that GWOVina has enhanced exploration capability leading to significant speedup in the search while maintaining comparable binding pose prediction accuracy to AutoDock Vina. ...
    Downloads: 1 This Week
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  • 6
    PSOVina 2.0

    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
    Downloads: 2 This Week
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  • 7

    ParallelVSR

    ParallelVSR - a pipeline for parallel virtual screening on R platform

    ...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. This pipeline has R scripts to perform VS automatically in step-wise manner. To increase the efficiency of VS, we have used data level parallel processing approach using task-pull methodology of Master-Slave communication protocol.
    Downloads: 0 This Week
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  • 8
    A distance-constraint-driven protein-protein docking approach
    Downloads: 0 This Week
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  • 9
    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.
    Downloads: 0 This Week
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