dc.creator | Asencio Cortés, Gualberto | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.creator | Márquez Chamorro, Alfonso Eduardo | es |
dc.date.accessioned | 2022-05-20T08:11:11Z | |
dc.date.available | 2022-05-20T08:11:11Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Asencio Cortés, G., Aguilar Ruiz, J.S. y Márquez Chamorro, A.E. (2015). An Efficient Nearest Neighbor Method for Protein Contact Prediction. En HAIS 2015 : 10th International Conference on Hybrid Artificial Intelligence Systems (50-60), Bilbao, España: Springer. | |
dc.identifier.isbn | 978-3-319-19643-5 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/133491 | |
dc.description.abstract | A variety of approaches for protein inter-residue contact pre diction have been developed in recent years. However, this problem is far
from being solved yet. In this article, we present an efficient nearest neigh bor (NN) approach, called PKK-PCP, and an application for the protein
inter-residue contact prediction. The great strength of using this approach
is its adaptability to that problem. Furthermore, our method improves
considerably the efficiency with regard to other NN approaches. Our
NN-based method combines parallel execution with k-d tree as search
algorithm. The input data used by our algorithm is based on structural
features and physico-chemical properties of amino acids besides of evo lutionary information. Results obtained show better efficiency rates, in
terms of time and memory consumption, than other similar approaches. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TIN2011-28956-C02-01 | es |
dc.format | application/pdf | es |
dc.format.extent | 11 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | HAIS 2015 : 10th International Conference on Hybrid Artificial Intelligence Systems (2015), pp. 50-60. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | k-nearest neighbor | es |
dc.subject | k-d tree | es |
dc.subject | Protein inter-residue contact prediction | es |
dc.title | An Efficient Nearest Neighbor Method for Protein Contact 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 | TIN2011-28956-C02-01 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-19644-2_5 | es |
dc.identifier.doi | 10.1007/978-3-319-19644-2_5 | es |
dc.contributor.group | Universidad de Sevilla. TIC205: Ingeniería del Software Aplicada | es |
dc.publication.initialPage | 50 | es |
dc.publication.endPage | 60 | es |
dc.eventtitle | HAIS 2015 : 10th International Conference on Hybrid Artificial Intelligence Systems | es |
dc.eventinstitution | Bilbao, España | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | es |