A new method for binary classification of proteins with Machine Learning

• URL: http://arxiv.org/abs/2111.01976v1
• Date: Wed, 3 Nov 2021 01:58:34 GMT
• Title: A new method for binary classification of proteins with Machine Learning
• Authors: Damiano Perri, Marco Simonetti, Andrea Lombardi, Noelia Faginas-Lago, Osvaldo Gervasi
• Abstract summary: In this work we set out to find a method to classify protein structures using a Deep Learning methodology. Our Artificial Intelligence has been trained to recognize complex biomolecule structures extrapolated from the Protein Data Bank (PDB) database and reprocessed as images. For this purpose various tests have been conducted with pre-trained Convolutional Neural Networks, such as InceptionResNetV2 or InceptionV3, in order to extract significant features from these images and correctly classify the molecule.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this work we set out to find a method to classify protein structures using a Deep Learning methodology. Our Artificial Intelligence has been trained to recognize complex biomolecule structures extrapolated from the Protein Data Bank (PDB) database and reprocessed as images; for this purpose various tests have been conducted with pre-trained Convolutional Neural Networks, such as InceptionResNetV2 or InceptionV3, in order to extract significant features from these images and correctly classify the molecule. A comparative analysis of the performances of the various networks will therefore be produced.

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