Ponencia
Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor
Autor/es | Santiesteban Toca, Cosme E.
Asencio Cortés, Gualberto Márquez Chamorro, Alfonso Eduardo Aguilar Ruiz, Jesús Salvador |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2012 |
Fecha de depósito | 2022-05-23 |
Publicado en |
|
ISBN/ISSN | 978-3-642-29065-7 0302-9743 |
Resumen | In this paper, we focus on protein contact map prediction,
one of the most important intermediate steps of the protein folding prob lem. The objective of this research is to know how short-range interac tions can contribute ... In this paper, we focus on protein contact map prediction, one of the most important intermediate steps of the protein folding prob lem. The objective of this research is to know how short-range interac tions can contribute to a system based on decision trees to learn about the correlation among the covalent structures of a protein residues. We propose a solution to predict protein contact maps that combines the use of decision trees with a new input codification for short-range in teractions. The method’s performance was very satisfactory, improving the accuracy instead using all information of the protein sequence. For a globulin data set the method can predict contacts with a maximal accu racy of 43%. The presented predictive model illustrates that short-range interactions play the predominant role in determining protein structure |
Cita | Santiesteban Toca, C.E., Asencio Cortés, G., Márquez Chamorro, A.E. y Aguilar Ruiz, J.S. (2012). Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor. En EvoBIO 2012: 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (224-233), Málaga, España: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Santiesteban-Toca2012_Chapter_ ... | 381.1Kb | [PDF] | Ver/ | |