A functional programming approach to a computational biology problem

Autores
Krasnogor, Natalio; Martínez López, Pablo E.; Mocciola, Pablo Andrés; Pelta, David Alejandro
Año de publicación
1997
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Protein Folding is an important open problem in the eld of Computational Biology Due to its com binatorial nature exact polynomial algorithms to solve it could not exist and so approximation algorithms and heuristics has to be used In this paper a new heuristic is studied based on the approach that considers that the folding process is coded into the protein One important aspect of this work is that the algorithm was implemented using functional programming resulting in advantages for the understanding of the problem The results obtained are comparable with the ones obtained for classical algorithms .
Eje: Conferencia latinoamericana de programación funcional
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Protein Folding
Functional Programming
Combinatorial Optimization
Optimization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24126

id SEDICI_fe975236b67020c4c60ae3e7b17e46d2
oai_identifier_str oai:sedici.unlp.edu.ar:10915/24126
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A functional programming approach to a computational biology problemKrasnogor, NatalioMartínez López, Pablo E.Mocciola, Pablo AndrésPelta, David AlejandroCiencias InformáticasProtein FoldingFunctional ProgrammingCombinatorial OptimizationOptimizationProtein Folding is an important open problem in the eld of Computational Biology Due to its com binatorial nature exact polynomial algorithms to solve it could not exist and so approximation algorithms and heuristics has to be used In this paper a new heuristic is studied based on the approach that considers that the folding process is coded into the protein One important aspect of this work is that the algorithm was implemented using functional programming resulting in advantages for the understanding of the problem The results obtained are comparable with the ones obtained for classical algorithms .Eje: Conferencia latinoamericana de programación funcionalRed de Universidades con Carreras en Informática (RedUNCI)1997info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24126enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:37:14Zoai:sedici.unlp.edu.ar:10915/24126Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:37:15.104SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A functional programming approach to a computational biology problem
title A functional programming approach to a computational biology problem
spellingShingle A functional programming approach to a computational biology problem
Krasnogor, Natalio
Ciencias Informáticas
Protein Folding
Functional Programming
Combinatorial Optimization
Optimization
title_short A functional programming approach to a computational biology problem
title_full A functional programming approach to a computational biology problem
title_fullStr A functional programming approach to a computational biology problem
title_full_unstemmed A functional programming approach to a computational biology problem
title_sort A functional programming approach to a computational biology problem
dc.creator.none.fl_str_mv Krasnogor, Natalio
Martínez López, Pablo E.
Mocciola, Pablo Andrés
Pelta, David Alejandro
author Krasnogor, Natalio
author_facet Krasnogor, Natalio
Martínez López, Pablo E.
Mocciola, Pablo Andrés
Pelta, David Alejandro
author_role author
author2 Martínez López, Pablo E.
Mocciola, Pablo Andrés
Pelta, David Alejandro
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Protein Folding
Functional Programming
Combinatorial Optimization
Optimization
topic Ciencias Informáticas
Protein Folding
Functional Programming
Combinatorial Optimization
Optimization
dc.description.none.fl_txt_mv Protein Folding is an important open problem in the eld of Computational Biology Due to its com binatorial nature exact polynomial algorithms to solve it could not exist and so approximation algorithms and heuristics has to be used In this paper a new heuristic is studied based on the approach that considers that the folding process is coded into the protein One important aspect of this work is that the algorithm was implemented using functional programming resulting in advantages for the understanding of the problem The results obtained are comparable with the ones obtained for classical algorithms .
Eje: Conferencia latinoamericana de programación funcional
Red de Universidades con Carreras en Informática (RedUNCI)
description Protein Folding is an important open problem in the eld of Computational Biology Due to its com binatorial nature exact polynomial algorithms to solve it could not exist and so approximation algorithms and heuristics has to be used In this paper a new heuristic is studied based on the approach that considers that the folding process is coded into the protein One important aspect of this work is that the algorithm was implemented using functional programming resulting in advantages for the understanding of the problem The results obtained are comparable with the ones obtained for classical algorithms .
publishDate 1997
dc.date.none.fl_str_mv 1997
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24126
url http://sedici.unlp.edu.ar/handle/10915/24126
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1846782834413404160
score 12.928904