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Model‐Based Discovery and Development of Biopharmaceuticals: A Case Study of Mavrilimumab

Drug development is a lengthy, costly process with low probability of success. Biopharmaceuticals are highly specific molecules, with efficacy and safety closely tied to target biology and pharmacology. The “learning−predicting−confirming” continuum by translational and clinical modeling and simulat...

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Detalles Bibliográficos
Autores principales: Wang, Bing, Wu, Chi‐Yuan, Jin, Denise, Vicini, Paolo, Roskos, Lorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784736/
https://www.ncbi.nlm.nih.gov/pubmed/28836356
http://dx.doi.org/10.1002/psp4.12245
Descripción
Sumario:Drug development is a lengthy, costly process with low probability of success. Biopharmaceuticals are highly specific molecules, with efficacy and safety closely tied to target biology and pharmacology. The “learning−predicting−confirming” continuum by translational and clinical modeling and simulation (M&S) was implemented at every decision point for mavrilimumab, a human monoclonal antibody in development for rheumatoid arthritis (RA). This tutorial uses mavrilimumab as an example to demonstrate rational discovery, preclinical development, clinical study design, and dose selection of biotherapeutics by M&S.