Population Data-Driven Formulation of a COVID-19 Therapeutic

This study is designed to utilize computer modeling of the US population through NHANES to reduce the need for preclinical formulation and toxicology studies of an Ebola anti-viral (BSN389) being repurposed for COVID-19, and to thereby speed the candidate therapeutic to the clinic.

Detalles Bibliográficos
Autores principales: Campbell, Heather R., Cecil, Regan, Lodder, Robert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386525/
https://www.ncbi.nlm.nih.gov/pubmed/32743601
http://dx.doi.org/10.1101/2020.07.24.20161547
Descripción
Sumario:This study is designed to utilize computer modeling of the US population through NHANES to reduce the need for preclinical formulation and toxicology studies of an Ebola anti-viral (BSN389) being repurposed for COVID-19, and to thereby speed the candidate therapeutic to the clinic.

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