QSAR analysis on tacrine-related acetylcholinesterase inhibitors

Autores
Wong, K.Y.; Mercader, Andrew Gustavo; Saavedra Reyes, Laura Marcela; Honarparvar, B.; Romanelli, Gustavo Pablo; Duchowicz, Pablo Román
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: The evaluation of the clinical effects of Tacrine has shown efficacy in delaying the deterioration of the symptoms of Alzheimer's disease, while confirming the adverse events consisting mainly in the elevated liver transaminase levels. The study of tacrine analogs presents a continuous interest, and for this reason we establish Quantitative Structure-Activity Relationships on their Acetylcholinesterase inhibitory activity. Results: Ten groups of new developed Tacrine-related inhibitors are explored, which have been experimentally measured in different biochemical conditions and AChE sources. The number of included descriptors in the structure-activity relationship is characterized by 'Rule of Thumb'. The 1502 applied molecular descriptors could provide the best linear models for the selected Alzheimer's data base and the best QSAR model is reported for the considered data sets. Conclusion: The QSAR models developed in this work have a satisfactory predictive ability, and are obtained by selecting the most representative molecular descriptors of the chemical structure, represented through more than a thousand of constitutional, topological, geometrical, quantum-mechanical and electronic descriptor types.
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
Materia
Ciencias Médicas
Física
Química
Acetylcholinesterase Inhibitor
Alzheimer's disease
QSAR theory
Tacrine
Validation
Enfermedad de Alzheimer
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/85143

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oai_identifier_str oai:sedici.unlp.edu.ar:10915/85143
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling QSAR analysis on tacrine-related acetylcholinesterase inhibitorsWong, K.Y.Mercader, Andrew GustavoSaavedra Reyes, Laura MarcelaHonarparvar, B.Romanelli, Gustavo PabloDuchowicz, Pablo RománCiencias MédicasFísicaQuímicaAcetylcholinesterase InhibitorAlzheimer's diseaseQSAR theoryTacrineValidationEnfermedad de Alzheimer<b>Background:</b> The evaluation of the clinical effects of Tacrine has shown efficacy in delaying the deterioration of the symptoms of Alzheimer's disease, while confirming the adverse events consisting mainly in the elevated liver transaminase levels. The study of tacrine analogs presents a continuous interest, and for this reason we establish Quantitative Structure-Activity Relationships on their Acetylcholinesterase inhibitory activity. <b>Results:</b> Ten groups of new developed Tacrine-related inhibitors are explored, which have been experimentally measured in different biochemical conditions and AChE sources. The number of included descriptors in the structure-activity relationship is characterized by 'Rule of Thumb'. The 1502 applied molecular descriptors could provide the best linear models for the selected Alzheimer's data base and the best QSAR model is reported for the considered data sets. <b>Conclusion:</b> The QSAR models developed in this work have a satisfactory predictive ability, and are obtained by selecting the most representative molecular descriptors of the chemical structure, represented through more than a thousand of constitutional, topological, geometrical, quantum-mechanical and electronic descriptor types.Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas2014-09-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/85143enginfo:eu-repo/semantics/altIdentifier/issn/1021-7770info:eu-repo/semantics/altIdentifier/doi/10.1186/s12929-014-0084-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:48:40Zoai:sedici.unlp.edu.ar:10915/85143Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:48:41.154SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv QSAR analysis on tacrine-related acetylcholinesterase inhibitors
title QSAR analysis on tacrine-related acetylcholinesterase inhibitors
spellingShingle QSAR analysis on tacrine-related acetylcholinesterase inhibitors
Wong, K.Y.
Ciencias Médicas
Física
Química
Acetylcholinesterase Inhibitor
Alzheimer's disease
QSAR theory
Tacrine
Validation
Enfermedad de Alzheimer
title_short QSAR analysis on tacrine-related acetylcholinesterase inhibitors
title_full QSAR analysis on tacrine-related acetylcholinesterase inhibitors
title_fullStr QSAR analysis on tacrine-related acetylcholinesterase inhibitors
title_full_unstemmed QSAR analysis on tacrine-related acetylcholinesterase inhibitors
title_sort QSAR analysis on tacrine-related acetylcholinesterase inhibitors
dc.creator.none.fl_str_mv Wong, K.Y.
Mercader, Andrew Gustavo
Saavedra Reyes, Laura Marcela
Honarparvar, B.
Romanelli, Gustavo Pablo
Duchowicz, Pablo Román
author Wong, K.Y.
author_facet Wong, K.Y.
Mercader, Andrew Gustavo
Saavedra Reyes, Laura Marcela
Honarparvar, B.
Romanelli, Gustavo Pablo
Duchowicz, Pablo Román
author_role author
author2 Mercader, Andrew Gustavo
Saavedra Reyes, Laura Marcela
Honarparvar, B.
Romanelli, Gustavo Pablo
Duchowicz, Pablo Román
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Médicas
Física
Química
Acetylcholinesterase Inhibitor
Alzheimer's disease
QSAR theory
Tacrine
Validation
Enfermedad de Alzheimer
topic Ciencias Médicas
Física
Química
Acetylcholinesterase Inhibitor
Alzheimer's disease
QSAR theory
Tacrine
Validation
Enfermedad de Alzheimer
dc.description.none.fl_txt_mv <b>Background:</b> The evaluation of the clinical effects of Tacrine has shown efficacy in delaying the deterioration of the symptoms of Alzheimer's disease, while confirming the adverse events consisting mainly in the elevated liver transaminase levels. The study of tacrine analogs presents a continuous interest, and for this reason we establish Quantitative Structure-Activity Relationships on their Acetylcholinesterase inhibitory activity. <b>Results:</b> Ten groups of new developed Tacrine-related inhibitors are explored, which have been experimentally measured in different biochemical conditions and AChE sources. The number of included descriptors in the structure-activity relationship is characterized by 'Rule of Thumb'. The 1502 applied molecular descriptors could provide the best linear models for the selected Alzheimer's data base and the best QSAR model is reported for the considered data sets. <b>Conclusion:</b> The QSAR models developed in this work have a satisfactory predictive ability, and are obtained by selecting the most representative molecular descriptors of the chemical structure, represented through more than a thousand of constitutional, topological, geometrical, quantum-mechanical and electronic descriptor types.
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
description <b>Background:</b> The evaluation of the clinical effects of Tacrine has shown efficacy in delaying the deterioration of the symptoms of Alzheimer's disease, while confirming the adverse events consisting mainly in the elevated liver transaminase levels. The study of tacrine analogs presents a continuous interest, and for this reason we establish Quantitative Structure-Activity Relationships on their Acetylcholinesterase inhibitory activity. <b>Results:</b> Ten groups of new developed Tacrine-related inhibitors are explored, which have been experimentally measured in different biochemical conditions and AChE sources. The number of included descriptors in the structure-activity relationship is characterized by 'Rule of Thumb'. The 1502 applied molecular descriptors could provide the best linear models for the selected Alzheimer's data base and the best QSAR model is reported for the considered data sets. <b>Conclusion:</b> The QSAR models developed in this work have a satisfactory predictive ability, and are obtained by selecting the most representative molecular descriptors of the chemical structure, represented through more than a thousand of constitutional, topological, geometrical, quantum-mechanical and electronic descriptor types.
publishDate 2014
dc.date.none.fl_str_mv 2014-09-20
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/85143
url http://sedici.unlp.edu.ar/handle/10915/85143
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1021-7770
info:eu-repo/semantics/altIdentifier/doi/10.1186/s12929-014-0084-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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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
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