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dc.creatorMárquez Chamorro, Alfonso Eduardoes
dc.creatorAsencio Cortés, Gualbertoes
dc.creatorSantiesteban Toca, Cosme E.es
dc.creatorAguilar Ruiz, Jesús Salvadores
dc.date.accessioned2022-05-24T06:41:35Z
dc.date.available2022-05-24T06:41:35Z
dc.date.issued2015
dc.identifier.citationMárquez Chamorro, A.E., Asencio Cortés, G., Santiesteban Toca, C.E. y Aguilar Ruiz, J.S. (2015). Soft computing methods for the prediction of protein tertiary structures: A survey. Applied Soft Computing, 35 (October 2015), 398-410.
dc.identifier.issn1568-4946es
dc.identifier.urihttps://hdl.handle.net/11441/133555
dc.description.abstractThe problem of protein structure prediction (PSP) represents one of the most important challenges in computational biology. Determining the three dimensional structure of proteins is necessary to under stand their functions at molecular level. The most representative soft computing approaches for solving the protein tertiary structure prediction problem are summarized in this paper. These approaches have been categorized following the type of methodology. A total of 90 relevant works published in last 15 years in the field of protein structure prediction have been reported, including the best competitors in last CASP editions. However, despite large research effort in last decades, a considerable scope for further improvement still remains in this area.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.extent13es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofApplied Soft Computing, 35 (October 2015), 398-410.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProtein structure predictiones
dc.subjectSoft computinges
dc.subjectProtein contact mapes
dc.subjectSupport vector machineses
dc.subjectNeural networkses
dc.subjectEvolutionary algorithmses
dc.titleSoft computing methods for the prediction of protein tertiary structures: A surveyes
dc.typeinfo:eu-repo/semantics/articlees
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://www.sciencedirect.com/science/article/pii/S1568494615003737?via%3Dihubes
dc.identifier.doi10.1016/j.asoc.2015.06.024es
dc.contributor.groupUniversidad de Sevilla. TIC205: Ingeniería del Software Aplicadaes
dc.journaltitleApplied Soft Computinges
dc.publication.volumen35es
dc.publication.issueOctober 2015es
dc.publication.initialPage398es
dc.publication.endPage410es
dc.identifier.sisius20877293es
dc.contributor.funderJunta de Andalucíaes
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). Españaes

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