Showing 4 open source projects for "qspr"

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    DataPrep

    Python-based data preprocessing tool

    DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options.
    Downloads: 0 This Week
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  • 2
    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/QSPR development more efficient and reproducible. - Published in ACS, Journal of Chemical Information and Modeling . Link : https://pubs.acs.org/doi/10.1021/acs.jcim.4c02372 - 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.
    Downloads: 7 This Week
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  • 3

    BioPPSy

    A biochemical property prediction system

    Computationally predicts the pharmacokinetic properties of drug candidates using Quantitative Structure Property Relationships (QSPR) modelling. Assembles a set of tools and databases for predicting the physical properties of small molecules. The program models a given property's dependence on a collection of molecular and structural descriptors using a training set of molecules. Neural networks and support vector regression are available, as well as linear models.
    Downloads: 0 This Week
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  • 4
    SPAS (Structure Property Analysis Software) is a Quantitative Structure-Property Relationship (QSPR) software.
    Downloads: 2 This Week
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