dc.creator | Márquez Chamorro, Alfonso Eduardo | es |
dc.creator | Divina, Federico | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.creator | Asencio Cortés, Gualberto | es |
dc.date.accessioned | 2022-05-20T08:31:56Z | |
dc.date.available | 2022-05-20T08:31:56Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Márquez Chamorro, A.E., Divina, F., Aguilar Ruiz, J.S. y Asencio Cortés, G. (2011). An Evolutionary Approach for Protein Contact Map Prediction. En EvoBIO 2011: 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (101-110), Torino, Italy: Springer. | |
dc.identifier.isbn | 978-3-642-20388-6 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/133492 | |
dc.description.abstract | In this study, we present a residue-residue contact
prediction approach based on evolutionary computation. Some amino
acid properties are employed according to their importance in the
folding process: hydrophobicity, polarity, charge and residue size. Our
evolutionary algorithm provides a set of rules which determine different
cases where two amino acids are in contact. A rule represents two
windows of three amino acids. Each amino acid is characterized by these
four properties. We also include a statistical study for the propensities
of contacts between each pair of amino acids, according to their types,
hydrophobicity and polarity. Different experiments were also performed
to determine the best selection of properties for the structure prediction
among the cited properties. | 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 | 10 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | EvoBIO 2011: 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (2011), pp. 101-110. | |
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 | Evolutionary Computation | es |
dc.subject | Residue-residue contact | es |
dc.subject | Amino Acid Properties | es |
dc.title | An Evolutionary Approach for Protein Contact Map 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/10.1007/978-3-642-20389-3_10 | es |
dc.identifier.doi | 10.1007/978-3-642-20389-3_10 | es |
dc.contributor.group | Universidad de Sevilla. TIC205: Ingeniería del Software Aplicada | es |
dc.publication.initialPage | 101 | es |
dc.publication.endPage | 110 | es |
dc.eventtitle | EvoBIO 2011: 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics | es |
dc.eventinstitution | Torino, Italy | es |
dc.relation.publicationplace | Berlin, Germany | es |
dc.identifier.sisius | 20129328 | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |