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A review of three years' experience of the first pharmacometrics company in Korea
As the pharmaceutical industry in Korea is reaching the golden era of drug discovery due to increased investments in research and development and government funds, the need for a more efficient tool for the quantitative analysis has emerged. Therefore, the demand for pharmacometrics (PMx) consultanc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Clinical Pharmacology and Therapeutics
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7032967/ https://www.ncbi.nlm.nih.gov/pubmed/32095483 http://dx.doi.org/10.12793/tcp.2019.27.4.149 |
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author | Lee, So Jin Jeon, Sangil |
author_facet | Lee, So Jin Jeon, Sangil |
author_sort | Lee, So Jin |
collection | PubMed |
description | As the pharmaceutical industry in Korea is reaching the golden era of drug discovery due to increased investments in research and development and government funds, the need for a more efficient tool for the quantitative analysis has emerged. Therefore, the demand for pharmacometrics (PMx) consultancy services increased. Higher quality service suitable for regulatory submission and out-licensing deals were desired. In this analysis, we compiled and summarized 3 years of experiences of Q-fitter, the first PMx consultancy service company providing PMx analysis to the pharmaceutical industry in Korea. The projects were organized by companies, company types, indications, therapeutic areas, drug development stages, purposes, and scope of services. Within each category, we subcategorized the sections and assessed proportions and a year-over-year trend. As a result, we observed an increase in the number of projects in an average of ~170% per year, with the most frequent types of companies collaborated being the domestic pharmaceutical companies. Among the projects, ~72% involved modeling and simulation using population pharmacokinetic (PK) models, and the other included non-compartmental analysis (NCA), drug-drug interaction (DDI) prediction, and interpretation of the modeling results. The most sought-after purpose in PMx analysis was first-in-human (FIH) dose prediction followed by PK analysis, next clinical trial prediction, and scenario-based simulation. Oncology has been the top therapeutic area of interest every year consisting of ~38% of total projects, followed by Neurology (~13%). From this review, we were able to characterize the PMx service needs and spot the trend of current PMx practices in Korea. |
format | Online Article Text |
id | pubmed-7032967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Society for Clinical Pharmacology and Therapeutics |
record_format | MEDLINE/PubMed |
spelling | pubmed-70329672020-02-24 A review of three years' experience of the first pharmacometrics company in Korea Lee, So Jin Jeon, Sangil Transl Clin Pharmacol Original Article As the pharmaceutical industry in Korea is reaching the golden era of drug discovery due to increased investments in research and development and government funds, the need for a more efficient tool for the quantitative analysis has emerged. Therefore, the demand for pharmacometrics (PMx) consultancy services increased. Higher quality service suitable for regulatory submission and out-licensing deals were desired. In this analysis, we compiled and summarized 3 years of experiences of Q-fitter, the first PMx consultancy service company providing PMx analysis to the pharmaceutical industry in Korea. The projects were organized by companies, company types, indications, therapeutic areas, drug development stages, purposes, and scope of services. Within each category, we subcategorized the sections and assessed proportions and a year-over-year trend. As a result, we observed an increase in the number of projects in an average of ~170% per year, with the most frequent types of companies collaborated being the domestic pharmaceutical companies. Among the projects, ~72% involved modeling and simulation using population pharmacokinetic (PK) models, and the other included non-compartmental analysis (NCA), drug-drug interaction (DDI) prediction, and interpretation of the modeling results. The most sought-after purpose in PMx analysis was first-in-human (FIH) dose prediction followed by PK analysis, next clinical trial prediction, and scenario-based simulation. Oncology has been the top therapeutic area of interest every year consisting of ~38% of total projects, followed by Neurology (~13%). From this review, we were able to characterize the PMx service needs and spot the trend of current PMx practices in Korea. Korean Society for Clinical Pharmacology and Therapeutics 2019-12 2019-12-31 /pmc/articles/PMC7032967/ /pubmed/32095483 http://dx.doi.org/10.12793/tcp.2019.27.4.149 Text en Copyright © 2019 Translational and Clinical Pharmacology http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/). |
spellingShingle | Original Article Lee, So Jin Jeon, Sangil A review of three years' experience of the first pharmacometrics company in Korea |
title | A review of three years' experience of the first pharmacometrics company in Korea |
title_full | A review of three years' experience of the first pharmacometrics company in Korea |
title_fullStr | A review of three years' experience of the first pharmacometrics company in Korea |
title_full_unstemmed | A review of three years' experience of the first pharmacometrics company in Korea |
title_short | A review of three years' experience of the first pharmacometrics company in Korea |
title_sort | review of three years' experience of the first pharmacometrics company in korea |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7032967/ https://www.ncbi.nlm.nih.gov/pubmed/32095483 http://dx.doi.org/10.12793/tcp.2019.27.4.149 |
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