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dc.contributor.authorLlanes, Antonio
dc.contributor.authorMuñoz, Andrés
dc.contributor.authorSánchez, Antonia María
dc.contributor.authorCecilia Canales, José María
dc.contributor.authorBueno Crespo, Andrés
dc.contributor.authorGarcía Valverde, Teresa
dc.contributor.authorArcas Túnez, Francisco
dc.contributor.authorPérez Sánchez, Horacio
dc.date.accessioned2018-05-02T10:36:08Z
dc.date.available2018-05-02T10:36:08Z
dc.date.issued2016
dc.identifier.issn1389-4501
dc.identifier.otherdoi:10.2174/1389450117666160201114028
dc.identifier.urihttp://hdl.handle.net/10952/3001
dc.description.abstractThe protein-folding problem has been extensively studied during the last fifty years. The understanding of the dynamics of global shape of a protein and the influence on its biological function can help us to discover new and more effective drugs to deal with diseases of pharmacological relevance. Different computational approaches have been developed by different researchers in order to foresee the threedimensional arrangement of atoms of proteins from their sequences. However, the computational complexity of this problem makes mandatory the search for new models, novel algorithmic strategies and hardware platforms that provide solutions in a reasonable time frame. We present in this revision work the past and last tendencies regarding protein folding simulations from both perspectives; hardware and software. Of particular interest to us are both the use of inexact solutions to this computationally hard problem as well as which hardware platforms have been used for running this kind of Soft Computing techniques.es
dc.description.sponsorshipThis work is jointly supported by the FundaciónSéneca (Agencia Regional de Ciencia y Tecnología, Región de Murcia) under grants 15290/PI/2010 and 18946/JLI/13, by the Spanish MEC and European Commission FEDER under grant with reference TEC2012-37945-C02-02 and TIN2012-31345, by the Nils Coordinated Mobility under grant 012-ABEL-CM-2014A, in part financed by the European Regional Development Fund (ERDF). We also thank NVIDIA for hardware donation within UCAM GPU educational and research centers.es
dc.language.isoenes
dc.publisherBentham Sciencees
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectSoft computinges
dc.subjectprotein folding problemes
dc.subjectProtein Structure Predictiones
dc.subjectParallel Computinges
dc.subjectDistributed Computinges
dc.subjectMetaheuristicses
dc.subjectHigh Performance Computinges
dc.titleSoft Computing Techiniques for the Protein Folding Problem on High Performance Computing Architectureses
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleCurrent Drug Targetses
dc.volume.number17es
dc.issue.number14es
dc.description.disciplineIngeniería, Industria y Construcciónes


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