Mostrar el registro sencillo del ítem

Ponencia

dc.creatorMárquez Chamorro, Alfonso Eduardoes
dc.creatorDivina, Federicoes
dc.creatorBacardit, Jaumees
dc.creatorAguilar Ruiz, Jesús Salvadores
dc.date.accessioned2022-05-19T11:15:57Z
dc.date.available2022-05-19T11:15:57Z
dc.date.issued2013
dc.identifier.citationMárquez Chamorro, A.E., Divina, F., Bacardit, J. y Aguilar Ruiz, J.S. (2013). An efficient decision rule-based system for the protein residue-residue contact prediction. En CEC 2013: IEEE Congress on Evolutionary Computation (592-597), Cancún, México: IEEE Computer Society.
dc.identifier.isbn978-1-4799-0453-2es
dc.identifier.issn1089-778Xes
dc.identifier.urihttps://hdl.handle.net/11441/133479
dc.description.abstractProtein structure prediction remains one of the most important challenges in molecular biology. Contact maps have been extensively used as a simplified representation of protein structures. In this work, we propose a multi-objective evolutionary approach for contact map prediction. The proposed method bases the prediction on a set of physico-chemical prop erties and structural features of the amino acids, as well as evolutionary information in the form of an amino acid position specific scoring matrix (PSSM). The proposed technique produces a set of decision rules that identify contacts between amino acids. Results obtained by our approach are presented and confirm the validity of our proposal.es
dc.description.sponsorshipJunta de Andalucía P07-TIC-02611es
dc.description.sponsorshipMinisterio de Educación y Ciencia TIN2011-28956-C02-01es
dc.formatapplication/pdfes
dc.format.extent6es
dc.language.isoenges
dc.publisherIEEE Computer Societyes
dc.relation.ispartofCEC 2013: IEEE Congress on Evolutionary Computation (2013), pp. 592-597.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAn efficient decision rule-based system for the protein residue-residue contact predictiones
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDP07-TIC-02611es
dc.relation.projectIDTIN2011-28956-C02-01es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/6557622es
dc.identifier.doi10.1109/CEC.2013.6557622es
dc.contributor.groupUniversidad de Sevilla. TIC205: Ingeniería del Software Aplicadaes
dc.publication.initialPage592es
dc.publication.endPage597es
dc.eventtitleCEC 2013: IEEE Congress on Evolutionary Computationes
dc.eventinstitutionCancún, Méxicoes
dc.relation.publicationplaceNew York, USAes
dc.identifier.sisius20525843es
dc.contributor.funderJunta de Andalucíaes
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). Españaes

FicherosTamañoFormatoVerDescripción
An efficient decision rule-based ...769.9KbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional