Recently, several works have approached the HIV-1protease 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.
A reliable method for HIV-1 Protease Cleavage Site Prediction
NANNI, LORIS;
2006
Abstract
Recently, several works have approached the HIV-1protease 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.
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