Showing 4 open source projects for "python data analysis"

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  • 1

    GromacsProSuite

    Graphical User Interface for Gromacs

    ...Beyond simulation execution, it includes advanced trajectory processing and analysis tools such as RMSD, RMSF, SASA, clustering, PCA, hydrogen-bond analysis, Ramachandran plots, and FEL mapping. With integrated visualization and plotting utilities, it offers a unified platform for researchers, educators, and students to perform complete MD workflows efficiently and reproducibly. Our Goal is to bring MD simulations to every biologist's toolkit.
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    Downloads: 9 This Week
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  • 2
    CAMPARI

    CAMPARI

    Software for molecular simulations and trajectory analysis

    We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and...
    Downloads: 16 This Week
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  • 3

    Molecular Dynamics Studio

    Molecular Dynamics Cell Construction

    This is a collection of software modifications created to integrate NanoEngineer-1, PACKMOL and MSI2LMP for the purpose of easily creating molecular dynamics cells. NanoEngineer-1 is a molecular CAD software written by Nanorex and provides the user an easy way to create molecules, while the software modifications allow the user to type atoms using multiple force fields. PACKMOL can generate a random collection of molecules using the molecule templates from NanoEngineer-1 thus providing the...
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    Downloads: 16 This Week
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  • 4

    xPyder PyMOL Plugin

    Analyze and visualize coupled residues and their networks in proteins

    ...PSN), and more, to produce highly customizable publication-quality images. xPyder identifies networks (using concepts from graph theory, such as hubs and shortest path searching), compares matrices and focuses the analysis on relevant information by filtering the data using a modular, user-expandable plugin system that takes advantage of structural and dynamical information, contributing to bridge the gap between dynamical and mechanical properties at the molecular level.
    Downloads: 9 This Week
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