propythia - automated platform for the classification of peptides/proteins using machine learning
Project description
ProPythia
ProPythia (platform for the classification of peptides/proteins using machine learning) is a Python generic modular semi-automated platform containing functions for the classification of proteins based on their physicochemical properties using ML. ProPythia facilitates the major tasks of ML and includes modules to read and alter sequences, calculate several types of protein descriptors, pre-process datasets, execute feature selection and dimensionality reduction, perform clustering, train and optimize ML models and make predictions with different algorithms. ProPythia has an adaptable modular architecture being a versatile and easy-to-use tool to apply ML analysis over protein sequences.
It was tested on the classification of membrane active anticancer and antimicrobial peptides, available in folder examples.
Documentation
Documentation available at
Instalation from PyPI (stable releases)
pip install propythia
Credits and License
Developed at the Centre of Biological Engineering, University of Minho
Please refer to this work through this publication by Ana Marta Sequeira, Diana Lousa, Miguel Rocha :
ProPythia: a python automated platform for the classification of proteins using machine learning
Released under the GNU Public License (version 3.0).
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.