Cargando…
Quantifying the probability of pharmacological success to inform compound progression decisions
The Probability of Pharmacology Success, or PoPS, is a powerful metric to inform progression decisions by quantifying a compound’s overall pharmacological strength based on its mechanism. It is defined as the probability that X level of pharmacology is achieved in Y proportion of patients at a safe...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549803/ https://www.ncbi.nlm.nih.gov/pubmed/33045007 http://dx.doi.org/10.1371/journal.pone.0240234 |
_version_ | 1783592850860015616 |
---|---|
author | Zhou, Xuan Graff, Ole Chen, Chao |
author_facet | Zhou, Xuan Graff, Ole Chen, Chao |
author_sort | Zhou, Xuan |
collection | PubMed |
description | The Probability of Pharmacology Success, or PoPS, is a powerful metric to inform progression decisions by quantifying a compound’s overall pharmacological strength based on its mechanism. It is defined as the probability that X level of pharmacology is achieved in Y proportion of patients at a safe dose. The importance of adequate drug exposure, target engagement and functional pharmacology for enabling a compound’s efficacy is widely recognized. The PoPS estimates how well these conditions are met by integrating the compound’s pharmacological properties and the target’s modulation needs for the intended indication, in a pharmacometric model that includes the knowledge uncertainty. We use examples to illustrate how it can be used to compare drug candidates under specified benefit and risk conditions, support first-in-human decisions based on exposure limits, advise preclinical lead optimisation, and define clinical-trial populations. |
format | Online Article Text |
id | pubmed-7549803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75498032020-10-20 Quantifying the probability of pharmacological success to inform compound progression decisions Zhou, Xuan Graff, Ole Chen, Chao PLoS One Research Article The Probability of Pharmacology Success, or PoPS, is a powerful metric to inform progression decisions by quantifying a compound’s overall pharmacological strength based on its mechanism. It is defined as the probability that X level of pharmacology is achieved in Y proportion of patients at a safe dose. The importance of adequate drug exposure, target engagement and functional pharmacology for enabling a compound’s efficacy is widely recognized. The PoPS estimates how well these conditions are met by integrating the compound’s pharmacological properties and the target’s modulation needs for the intended indication, in a pharmacometric model that includes the knowledge uncertainty. We use examples to illustrate how it can be used to compare drug candidates under specified benefit and risk conditions, support first-in-human decisions based on exposure limits, advise preclinical lead optimisation, and define clinical-trial populations. Public Library of Science 2020-10-12 /pmc/articles/PMC7549803/ /pubmed/33045007 http://dx.doi.org/10.1371/journal.pone.0240234 Text en © 2020 Zhou et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhou, Xuan Graff, Ole Chen, Chao Quantifying the probability of pharmacological success to inform compound progression decisions |
title | Quantifying the probability of pharmacological success to inform compound progression decisions |
title_full | Quantifying the probability of pharmacological success to inform compound progression decisions |
title_fullStr | Quantifying the probability of pharmacological success to inform compound progression decisions |
title_full_unstemmed | Quantifying the probability of pharmacological success to inform compound progression decisions |
title_short | Quantifying the probability of pharmacological success to inform compound progression decisions |
title_sort | quantifying the probability of pharmacological success to inform compound progression decisions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549803/ https://www.ncbi.nlm.nih.gov/pubmed/33045007 http://dx.doi.org/10.1371/journal.pone.0240234 |
work_keys_str_mv | AT zhouxuan quantifyingtheprobabilityofpharmacologicalsuccesstoinformcompoundprogressiondecisions AT graffole quantifyingtheprobabilityofpharmacologicalsuccesstoinformcompoundprogressiondecisions AT chenchao quantifyingtheprobabilityofpharmacologicalsuccesstoinformcompoundprogressiondecisions |