Ponencia
A Multi-objective Genetic Algorithm for the Protein Structure Prediction
Autor/es | Márquez Chamorro, Alfonso Eduardo
Divina, Federico Aguilar Ruiz, Jesús Salvador Asencio Cortés, Gualberto |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2011 |
Fecha de depósito | 2022-05-19 |
Publicado en |
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ISBN/ISSN | 978-1-4577-1676-8 2164-7143 |
Resumen | The Protein Structure Prediction (PSP) problem
consists of predicting the structure of a protein from its amino
acids sequence, and have received much attention lately. In fact,
being able to predict the structure of a ... The Protein Structure Prediction (PSP) problem consists of predicting the structure of a protein from its amino acids sequence, and have received much attention lately. In fact, being able to predict the structure of a protein, would allow to know the function of the protein. In this paper, we propose a multi-objective evolutionary algorithm for the PSP problem. The prediction model consists of a set of rules that determine possible contacts between amino acids. Such rules are based on four specific amino acid properties, which are involved in the folding process: hydrophobicity, polarity, net charge and residue size. In order to increase the interpretability of the results, rules are organized in a 20x20 matrix where each cell contains the specific rules for a possible pair of residues. The high accuracy values obtained confirm the validity of our proposal. |
Cita | Márquez Chamorro, A.E., Divina, F., Aguilar Ruiz, J.S. y Asencio Cortés, G. (2011). A Multi-objective Genetic Algorithm for the Protein Structure Prediction. En ISDA 2011: 11th International Conference on Intelligent Systems Design and Applications (1086-1090), Córdoba, España: IEEE Computer Society. |
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