Showing 5 open source projects for "rdkit"

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  • 1
    PoseidonQ  - AI/ML Based QSAR Modeling

    PoseidonQ - AI/ML Based QSAR Modeling

    ML based QSAR Modelling And Translation of Model to Deployable WebApps

    - This Software was made with an intention to make QSAR building more efficient and reproducible. - Simple to use and no compromise on essential features necessary to make reliable QSAR models. - From Generating Reliable ML Based QSAR Models to Developing Your Own QSAR WebApp. For any feedback or queries, contact kabeermuzammil614@gmail.com - Available on Windows and Linux
    Downloads: 0 This Week
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  • 2
    Jupyter Dock

    Jupyter Dock

    Perform molecular docking protocols interactively

    Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results. These notebooks are Python 3 compatible. Each protocol and Jupyter notebook has its own test folder for testing and reproducibility evaluation. For all notebooks, the demonstration includes the use of AutoDock Vina and Ledock. When available, some alternatives are mentioned in the protocol. Jupyter Dock's initial goal...
    Downloads: 0 This Week
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  • 3

    dualword-chem

    chemical viewer

    chemical viewer written in C++ (Qt, RDKit) Source code: http://github.com/dualword/dualword-chem
    Downloads: 0 This Week
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  • 4
    RDKit

    RDKit

    Open-Source Cheminformatics and Machine Learning

    A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity...
    Downloads: 11 This Week
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  • 5
    ParaSim

    ParaSim

    Parallelized calculation of molecular similarities

    Diversity assessments and comparisons of large compound databases require calculating similarities of millions of compounds in an affordable time. ParaSim addresses this challenge by parallelizing the calculations according to the number of computing cores available on a single machine. It is optimized for the throughput of very large numbers of query structures against very large numbers of reference structures. As as special feature, ParaSim allows to store and and to access frequently...
    Downloads: 0 This Week
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