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Predicción de Propiedades de Sustancias Químicas con la Teoría de las Relaciones Cuantitativas Estructura-Actividad y Estructura-Propiedad

Authors: Duchowicz, Pablo Román;

Predicción de Propiedades de Sustancias Químicas con la Teoría de las Relaciones Cuantitativas Estructura-Actividad y Estructura-Propiedad

Abstract

Las Relaciones Cuantitativas Estructura-Actividad (QSAR) y Estructura-Propiedad (QSPR) permiten predecir un amplio espectro de propiedades fisicoquímicas y biológicas de las sustancias químicas que presenten interés en diferentes áreas de la Química, exhibidas en familias de compuestos químicos de baja y elevada masa molecular. Dicha teoría semiempíricaformula modelos matemáticos predictivos derivados de la estructura molecular, y la finalidad de sus aplicaciones es conseguir mejorar la metodología general de trabajo para que represente una herramienta predictiva aplicable a cualquier problema fisicoquímico o biológico. Este objetivo puede considerarse un aporte científico realmente importante y significativo en el avance de la predicción de propiedades carentes de mediciones experimentales. Todo estudio QSAR/QSPR se enfoca en establecer paralelismos que seleccionen los factores estructurales microscópicos preponderantes que afectan la propiedad. La técnica QSAR/QSPR complementa estudios teóricos o experimentales que traten de elucidar racionalmente los interrogantes de tipo químico involucrados en los distintos problemas. Se sabe que el valor científico de estos esquemas usados de manera aislada es limitado, por lo que se busca mantener una permanente interrelación con grupos experimentales colaboradores de manera de resolver a la par los interrogantes planteados en estos estudios.

Fil: Duchowicz, Pablo Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina

Country
Argentina
Keywords

QSAR, DESCRIPTORES MOLECULARES, https://purl.org/becyt/ford/1.4, REGRESIÓN LINEAL, VALIDACIÓN, https://purl.org/becyt/ford/1

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green