Open Source Python Molecular Science Software

Python Molecular Science Software

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Browse free open source Python Molecular Science Software and projects below. Use the toggles on the left to filter open source Python Molecular Science Software by OS, license, language, programming language, and project status.

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  • 1
    STochastic Engine for Pathway Simulation
    Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS
    Downloads: 1 This Week
    Last Update:
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  • 2
    PocketAnalyzerPCA combines a geometric algorithm for detecting pockets in proteins with Principal Component Analysis and clustering. This enables visualization and analysis of pocket conformational distributions of large sets of protein structures.
    Downloads: 1 This Week
    Last Update:
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  • 3
    PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.
    Downloads: 0 This Week
    Last Update:
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  • 4
    SPADE

    SPADE

    A toolkit for developing and deploying protein structure algorithms.

    The Structural Proteomics Application Development Environment is a Python tool kit for developing and deploying bioinformatics applications. Handles graphics, analysis, and modeling of protein sequence and structure. Source and Win installers available. SPADE source code can be cloned from http://www.github.com/deaconjs/SPADE.
    Downloads: 0 This Week
    Last Update:
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  • 5
    A laboratory information management system (LIMS) geared towards academic research groups in the life sciences. Written in Python and using the Django framework, you run this software on your own server.
    Downloads: 0 This Week
    Last Update:
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  • 6
    openSputnik is a robust distributed platform for massive scale precalculation of genetic and genomic data using contemporary bioinformatics methods. Annotated DNA, RNA and protein sequences are stored as binary objects in a variery of relational database
    Downloads: 0 This Week
    Last Update:
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