Paper ID: 2111.01976

A new method for binary classification of proteins with Machine Learning

Damiano Perri, Marco Simonetti, Andrea Lombardi, Noelia Faginas-Lago, Osvaldo Gervasi

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.

Submitted: Nov 3, 2021