Your browser doesn't support javascript.
loading
A Model-Informed Drug Discovery and Development Strategy for the Novel Glucose-Responsive Insulin MK-2640 Enabled Rapid Decision Making.
Visser, Sandra A G; Kandala, Bhargava; Fancourt, Craig; Krug, Alexander W; Cho, Carolyn R.
Afiliação
  • Visser SAG; Department of Quantitative Pharmacology & Pharmacometrics (QP2) at Merck & Co. Inc., Kenilworth, New Jersey, USA.
  • Kandala B; Department of Quantitative Pharmacology & Pharmacometrics (QP2) at Merck & Co. Inc., Kenilworth, New Jersey, USA.
  • Fancourt C; Department of Quantitative Pharmacology & Pharmacometrics (QP2) at Merck & Co. Inc., Kenilworth, New Jersey, USA.
  • Krug AW; Department of Translational Pharmacology at Merck & Co. Inc., Kenilworth, New Jersey, USA.
  • Cho CR; Department of Quantitative Pharmacology & Pharmacometrics (QP2) at Merck & Co. Inc., Kenilworth, New Jersey, USA.
Clin Pharmacol Ther ; 107(6): 1296-1311, 2020 06.
Article em En | MEDLINE | ID: mdl-31889297
ABSTRACT
A model-informed drug discovery and development strategy played a key role in the novel glucose-responsive insulin MK-2640's early clinical development strategy and supported a novel clinical trial paradigm to assess glucose responsiveness. The development and application of in silico modeling approaches by leveraging substantial published clinical insulin pharmacokinetic-pharmacodynamic (PKPD) data and emerging preclinical and clinical data enabled rapid quantitative decision making. Learnings can be applied to define PKPD properties of novel insulins that could become therapeutically meaningful for diabetic patients.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicemia / Hipoglicemiantes / Insulina / Modelos Biológicos Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicemia / Hipoglicemiantes / Insulina / Modelos Biológicos Idioma: En Ano de publicação: 2020 Tipo de documento: Article