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Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions
The application of model-informed drug discovery and development (MID3) approaches in the early stages of drug discovery can help determine feasibility of drugging a target, prioritize between targets, or define optimal drug properties for a target product profile (TPP). However, applying MID3 in ea...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214263/ https://www.ncbi.nlm.nih.gov/pubmed/35754500 http://dx.doi.org/10.3389/fphar.2022.864768 |
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author | Marcantonio, Diana H. Matteson, Andrew Presler, Marc Burke, John M. Hagen, David R. Hua, Fei Apgar, Joshua F. |
author_facet | Marcantonio, Diana H. Matteson, Andrew Presler, Marc Burke, John M. Hagen, David R. Hua, Fei Apgar, Joshua F. |
author_sort | Marcantonio, Diana H. |
collection | PubMed |
description | The application of model-informed drug discovery and development (MID3) approaches in the early stages of drug discovery can help determine feasibility of drugging a target, prioritize between targets, or define optimal drug properties for a target product profile (TPP). However, applying MID3 in early discovery can be challenging due to the lack of pharmacokinetic (PK) and pharmacodynamic (PD) data at this stage. Early Feasibility Assessment (EFA) is the application of mechanistic PKPD models, built from first principles, and parameterized by data that is readily available early in drug discovery to make effective dose predictions. This manuscript demonstrates the ability of EFA to make accurate predictions of clinical effective doses for nine approved biotherapeutics and outlines the potential of extending this approach to novel therapeutics to impact early drug discovery decisions. |
format | Online Article Text |
id | pubmed-9214263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92142632022-06-23 Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions Marcantonio, Diana H. Matteson, Andrew Presler, Marc Burke, John M. Hagen, David R. Hua, Fei Apgar, Joshua F. Front Pharmacol Pharmacology The application of model-informed drug discovery and development (MID3) approaches in the early stages of drug discovery can help determine feasibility of drugging a target, prioritize between targets, or define optimal drug properties for a target product profile (TPP). However, applying MID3 in early discovery can be challenging due to the lack of pharmacokinetic (PK) and pharmacodynamic (PD) data at this stage. Early Feasibility Assessment (EFA) is the application of mechanistic PKPD models, built from first principles, and parameterized by data that is readily available early in drug discovery to make effective dose predictions. This manuscript demonstrates the ability of EFA to make accurate predictions of clinical effective doses for nine approved biotherapeutics and outlines the potential of extending this approach to novel therapeutics to impact early drug discovery decisions. Frontiers Media S.A. 2022-06-08 /pmc/articles/PMC9214263/ /pubmed/35754500 http://dx.doi.org/10.3389/fphar.2022.864768 Text en Copyright © 2022 Marcantonio, Matteson, Presler, Burke, Hagen, Hua and Apgar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Marcantonio, Diana H. Matteson, Andrew Presler, Marc Burke, John M. Hagen, David R. Hua, Fei Apgar, Joshua F. Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions |
title | Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions |
title_full | Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions |
title_fullStr | Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions |
title_full_unstemmed | Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions |
title_short | Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions |
title_sort | early feasibility assessment: a method for accurately predicting biotherapeutic dosing to inform early drug discovery decisions |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214263/ https://www.ncbi.nlm.nih.gov/pubmed/35754500 http://dx.doi.org/10.3389/fphar.2022.864768 |
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