Showing 4 open source projects for "docking protein"

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  • 1
    Protenix

    Protenix

    A trainable PyTorch reproduction of AlphaFold 3

    Protenix is an open-source, trainable PyTorch reimplementation of AlphaFold 3, developed by ByteDance with the goal of democratizing high-accuracy protein structure prediction for computational biology and drug-discovery research. Protenix provides a complete pipeline for turning protein sequences (with optional MSA / sequence alignment) or structural inputs (e.g. PDB/CIF) into full 3D atomic-level structure predictions. It supports both “full” models and lightweight variants such as...
    Downloads: 0 This Week
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  • 2
    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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  • 3

    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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  • 4

    (NCS) NEQUIM Contact System

    Tool for analyze of interactions in ligand-protein complexes

    NEQUIM Contact System (NCS) is a system to generate and analyze interaction vectors of protein-ligand 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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