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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...

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Detalles Bibliográficos
Autores principales: Zhou, Xuan, Graff, Ole, Chen, Chao
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
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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.
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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
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