dc.creator | Márquez Chamorro, Alfonso Eduardo | es |
dc.creator | Divina, Federico | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.creator | Bacardit, Jaume | es |
dc.creator | Asencio Cortés, Gualberto | es |
dc.creator | Santiesteban Toca, Cosme E. | es |
dc.date.accessioned | 2022-05-19T10:32:11Z | |
dc.date.available | 2022-05-19T10:32:11Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Márquez Chamorro, A.E., Divina, F., Aguilar Ruiz, J.S., Bacardit, J., Asencio Cortés, G. y Santiesteban Toca, C.E. (2012). A NSGA-II Algorithm for the Residue-Residue Contact Prediction. En EvoBIO 2012: 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (234-244), Málaga, España: Springer. | |
dc.identifier.isbn | 978-3-642-29065-7 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/133473 | |
dc.description.abstract | We present a multi-objective evolutionary approach to
predict protein contact maps. The algorithm provides a set of rules,
inferring whether there is contact between a pair of residues or not. Such
rules are based on a set of specific amino acid properties. These properties
determine the particular features of each amino acid represented in
the rules. In order to test the validity of our proposal, we have
compared results obtained by our method with results obtained by
other classification methods. The algorithm shows better accuracy and
coverage rates than other contact map predictor algorithms. A statistical
analysis of the resulting rules was also performed in order to extract
conclusions of the protein folding problem. | es |
dc.description.sponsorship | Junta de Andalucía P07-TIC-02611 | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIN2007-68084-C02-00 | es |
dc.format | application/pdf | es |
dc.format.extent | 11 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | EvoBIO 2012: 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (2012), pp. 234-244. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Protein structure prediction | es |
dc.subject | Contact Map | es |
dc.subject | Multi-objective evolutionary computation | es |
dc.title | A NSGA-II Algorithm for the Residue-Residue Contact Prediction | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | P07-TIC-02611 | es |
dc.relation.projectID | TIN2007-68084-C02-00 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-642-29066-4_21 | es |
dc.identifier.doi | 10.1007/978-3-642-29066-4_21 | es |
dc.publication.initialPage | 234 | es |
dc.publication.endPage | 244 | es |
dc.eventtitle | EvoBIO 2012: 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics | es |
dc.eventinstitution | Málaga, España | es |
dc.relation.publicationplace | Berlin, Germany | es |
dc.identifier.sisius | 20131838 | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |