Related Experiment Video

Updated: Aug 19, 2025

Use of Two Dimensional Semi-denaturing Detergent Agarose Gel Electrophoresis to Confirm Size Heterogeneity of Amyloid or Amyloid-like Fibers

Use of Two Dimensional Semi-denaturing Detergent Agarose Gel Electrophoresis to Confirm Size Heterogeneity of Amyloid or Amyloid-like Fibers

Published on: April 26, 2018

ENTAIL: yEt aNoTher amyloid fIbrils cLassifier

Alessia Auriemma Citarella¹, Luigi Di Biasi², Fabiola De Marco²

¹Department of Computer Science, University of Salerno, Fisciano, Italy. aauriemmacitarella@unisa.it.

BMC Bioinformatics

|December 1, 2022

Abstract

Background:

This research aims to increase our knowledge of amyloidoses. These disorders cause incorrect protein folding, affecting protein functionality (on structure). Fibrillar deposits are the basis of some wellknown diseases, such as Alzheimer, Creutzfeldt-Jakob diseases and type II diabetes. For many of these amyloid proteins, the relative precursors are known. Discovering new protein precursors involved in forming amyloid fibril deposits would improve understanding the pathological processes of amyloidoses.

Results:

A new classifier, called ENTAIL, was developed using over than 4000 molecular descriptors. ENTAIL was based on the Naive Bayes Classifier with Unbounded Support and Gaussian Kernel Type, with an accuracy on the test set of 81.80%, SN of 100%, SP of 63.63% and an MCC of 0.683 on a balanced dataset.

Conclusions:

The analysis carried out has demonstrated how, despite the various configurations of the tests, performances are superior in terms of performance on a balanced dataset.

Keywords:

Amyloidoses Fibrils machine learning Protein classification

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