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Author(s): Rui Camacho
Rita Ferreira
Natacha Rosa
Vânia Guimarães
Nuno A Fonseca
Vítor Santos Costa
Miguel de Sousa
Alexandre Magalhaes
Title: Predicting the secondary structure of proteins using Machine Learning algorithms
Issue Date: 2012
Abstract: The functions of proteins in living organisms are related to their 3-D structure, which is known to be ultimately determined by their linear sequence of amino acids that together form these macromolecules. It is, therefore, of great importance to be able to understand and predict how the protein 3D-structure arises from a particular linear sequence of amino acids. In this paper we report the application of Machine Learning methods to predict, with high values of accuracy, the secondary structure of proteins, namely alpha-helices and beta-sheets, which are intermediate levels of the local structure.
Subject: Matemática
Scientific areas: Ciências exactas e naturais::Matemática
Natural sciences::Mathematics
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:FCUP - Artigo em Revista Científica Internacional
FEUP - Artigo em Revista Científica Internacional

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