dc.contributor.author | Llanes, Antonio | |
dc.contributor.author | Muñoz, Andrés | |
dc.contributor.author | Sánchez, Antonia María | |
dc.contributor.author | Cecilia Canales, José María | |
dc.contributor.author | Bueno Crespo, Andrés | |
dc.contributor.author | García Valverde, Teresa | |
dc.contributor.author | Arcas Túnez, Francisco | |
dc.contributor.author | Pérez Sánchez, Horacio | |
dc.date.accessioned | 2018-05-02T10:36:08Z | |
dc.date.available | 2018-05-02T10:36:08Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1389-4501 | |
dc.identifier.other | doi:10.2174/1389450117666160201114028 | |
dc.identifier.uri | http://hdl.handle.net/10952/3001 | |
dc.description.abstract | The 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.sponsorship | This 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.iso | en | es |
dc.publisher | Bentham Science | es |
dc.rights | Atribución-NoComercial-CompartirIgual 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.subject | Soft computing | es |
dc.subject | protein folding problem | es |
dc.subject | Protein Structure Prediction | es |
dc.subject | Parallel Computing | es |
dc.subject | Distributed Computing | es |
dc.subject | Metaheuristics | es |
dc.subject | High Performance Computing | es |
dc.title | Soft Computing Techiniques for the Protein Folding Problem on High Performance Computing Architectures | es |
dc.type | article | es |
dc.rights.accessRights | openAccess | es |
dc.journal.title | Current Drug Targets | es |
dc.volume.number | 17 | es |
dc.issue.number | 14 | es |
dc.description.discipline | Ingeniería, Industria y Construcción | es |