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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.
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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Materias: | |
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 |
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author | Campbell, Heather R. Cecil, Regan Lodder, Robert A. |
author_facet | Campbell, Heather R. Cecil, Regan Lodder, Robert A. |
author_sort | Campbell, Heather R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7386525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-73865252020-07-31 Population Data-Driven Formulation of a COVID-19 Therapeutic Campbell, Heather R. Cecil, Regan Lodder, Robert A. medRxiv Article 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. Cold Spring Harbor Laboratory 2020-07-27 /pmc/articles/PMC7386525/ /pubmed/32743601 http://dx.doi.org/10.1101/2020.07.24.20161547 Text en http://creativecommons.org/licenses/by-nc/4.0/It is made available under a CC-BY-NC 4.0 International license (http://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Article Campbell, Heather R. Cecil, Regan Lodder, Robert A. Population Data-Driven Formulation of a COVID-19 Therapeutic |
title | Population Data-Driven Formulation of a COVID-19 Therapeutic |
title_full | Population Data-Driven Formulation of a COVID-19 Therapeutic |
title_fullStr | Population Data-Driven Formulation of a COVID-19 Therapeutic |
title_full_unstemmed | Population Data-Driven Formulation of a COVID-19 Therapeutic |
title_short | Population Data-Driven Formulation of a COVID-19 Therapeutic |
title_sort | population data-driven formulation of a covid-19 therapeutic |
topic | Article |
url | 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 |
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