The use of a quantitative structure-activity relationship (QSAR) model to predict GABA-A receptor binding of newly emerging benzodiazepines.

Waters, Laura; Manchester, Kieran R; Maskell, Peter D; Haegeman, Caroline; Haider, Shozeb

Waters, Laura; Manchester, Kieran R; Maskell, Peter D; Haegeman, Caroline; Haider, Shozeb.

Waters L; School of Applied Sciences, University of Huddersfield, Huddersfield, UK. Electronic address: l.waters@hud.ac.uk.
Manchester KR; School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
Maskell PD; School of Science, Engineering and Technology, Abertay University, Dundee, UK.
Haegeman C; School of Pharmacy, University College London, London, UK.
Haider S; School of Pharmacy, University College London, London, UK.

Sci Justice ; 58(3): 219-225, 2018 May.

Article en En | MEDLINE | ID: mdl-29685303

Asunto(s)

Benzodiazepinas/química; Relación Estructura-Actividad Cuantitativa; Receptores de GABA-A/química; Sitios de Unión; Humanos; Modelos Químicos

Palabras clave

Benzodiazepines; Biological activity; GABA(A) receptor; New psychoactive substances; Prediction; QSAR

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Benzodiazepinas / Receptores de GABA-A / Relación Estructura-Actividad Cuantitativa Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2018 Tipo del documento: Article

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