Presentation
Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor
Author/s | Márquez Chamorro, Alfonso Eduardo
Divina, Federico Aguilar Ruiz, Jesús Salvador Santiesteban Toca, Cosme E. |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2013 |
Deposit Date | 2022-05-23 |
Published in |
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ISBN/ISSN | 978-3-642-41826-6 0302-9743 |
Abstract | This work proposes an improvement of the multi-objective
evolutionary method for the protein residue-residue contact prediction
called MECoMaP. This method bases its prediction on physico chemical properties of amino ... This work proposes an improvement of the multi-objective evolutionary method for the protein residue-residue contact prediction called MECoMaP. This method bases its prediction on physico chemical properties of amino acids, structural features and evolutionary information of the proteins. The evolutionary algorithm produces a set of decision rules that identifies contacts between amino acids. These decision rules generated by the algorithm represent a set of conditions to predict residue-residue contacts. A new encoding used, a fast evaluation of the examples from the training data set and a treatment of unbalanced classes of data were considered to improve the the efficiency of the algorithm. |
Citation | Márquez Chamorro, A.E., Divina, F., Aguilar Ruiz, J.S. y Santiesteban Toca, C.E. (2013). Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor. En CIARP 2013: 18th Iberoamerican Congress on Pattern Recognition (166-173), La Habana, Cuba: Springer. |
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