A new method for binary classification of proteins with Machine Learning
Machine Learning
2021-11-04 v1 Biomolecules
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.
Cite
@article{arxiv.2111.01976,
title = {A new method for binary classification of proteins with Machine Learning},
author = {Damiano Perri and Marco Simonetti and Andrea Lombardi and Noelia Faginas-Lago and Osvaldo Gervasi},
journal= {arXiv preprint arXiv:2111.01976},
year = {2021}
}
Comments
International Conference on Computational Science and Its Applications, ICCSA 2021