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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/85143
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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 |
format |
article |
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 |
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info:eu-repo/semantics/altIdentifier/issn/1021-7770 info:eu-repo/semantics/altIdentifier/doi/10.1186/s12929-014-0084-0 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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application/pdf |
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