How effective are ionization state-based QSPKR models at predicting pharmacokinetic parameters in humans?

Gomatam, Anish; Joseph, Blessy; Advani, Poonam; Shaikh, Mushtaque; Iyer, Krishna; Coutinho, Evans

Gomatam, Anish; Joseph, Blessy; Advani, Poonam; Shaikh, Mushtaque; Iyer, Krishna; Coutinho, Evans.

Afiliación

Gomatam A; Department of Pharmaceutical Chemistry, Bombay College of Pharmacy, Mumbai, India.
Joseph B; Department of Pharmaceutical Chemistry, Bombay College of Pharmacy, Mumbai, India.
Advani P; Mumbai Educational Trust's Institute of Pharmacy, Mumbai, India.
Shaikh M; Department of Pharmaceutical Chemistry, Vivekanand Education Society's College of Pharmacy, Mumbai, India.
Iyer K; Department of Pharmaceutical Chemistry, Bombay College of Pharmacy, Mumbai, India.
Coutinho E; Department of Pharmaceutical Chemistry, Bombay College of Pharmacy, Mumbai, India. evans.coutinho@bcp.edu.in.

Mol Divers ; 27(4): 1675-1687, 2023 Aug.

Article en En | MEDLINE | ID: mdl-36219381

Asunto(s)

Algoritmos; Relación Estructura-Actividad Cuantitativa; Humanos; Preparaciones Farmacéuticas; Modelos Biológicos

Palabras clave

Clearance; Half-life; In silico; Pharmacokinetics; QSPKR; Volume of distribution

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Relación Estructura-Actividad Cuantitativa Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Mol Divers Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: India

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