Letters: A reliable method for HIV-1 protease cleavage site prediction

Authors:
Loris Nanni;Alessandra Lumini
Affiliations:
DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Venue:
Neurocomputing
Year:
2006

Citing 6
Cited 0

On Combining Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial neural network model for predicting HIV protease cleavage sites in protein

Advances in Engineering Software
FVC2000: Fingerprint Verification Competition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Security Management Handbook

Information Security Management Handbook
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
Why neural networks should not be used for HIV-1 protease cleavage site prediction

Bioinformatics

Quantified Score

Hi-index	0.01

Visualization

Abstract

Recently, several works have approached the HIV-1 protease specificity problem by applying techniques from machine learning. In this work, an encoding scheme based on the BLOSUM50 matrix is investigated. We show that combining a linear discriminant classifier and radial basis function support vector machine we obtain performance higher than previously published in the literature.