Ponencia
A decision tree-based method for protein contact map prediction
Autor/es | Santiesteban Toca, Cosme E.
Márquez Chamorro, Alfonso Eduardo Asencio Cortés, Gualberto Aguilar Ruiz, Jesús Salvador |
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 | 978-3-642-20388-6 0302-9743 |
Resumen | In this paper, we focus on protein contact map prediction.
We describe a method where contact maps are predicted using decision
tree-based model. The algorithm includes the subsequence information
between the couple of ... In this paper, we focus on protein contact map prediction. We describe a method where contact maps are predicted using decision tree-based model. The algorithm includes the subsequence information between the couple of analyzed amino acids. In order to evaluate the method generalization capabilities, we carry out an experiment using 173 non-homologous proteins of known structures. Our results indicate that the method can assign protein contacts with an average accuracy of 0.34, superior to the 0.25 obtained by the FNETCSS method. This shows that our algorithm improves the accuracy with respect to the methods compared, especially with the increase of protein length |
Cita | Santiesteban Toca, C.E., Márquez Chamorro, A.E., Asencio Cortés, G. y Aguilar Ruiz, J.S. (2011). A decision tree-based method for protein contact map prediction. En EvoBIO 2011: 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (153-158), Torino, Italy: Springer. |
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