Quantitative Systems Pharmacology Can Reduce Attrition and Improve Productivity in Pharmaceutical Research and Development
The empirical hypothesis generation and testing approach to pharmaceutical research and development (R&D), and biomedical research has proven very effective over the last half-century; resulting in tremendous increases productivity and the rates of approval for New Drug Applications (NDA’s) at t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2014-11-01
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| Series: | Frontiers in Pharmacology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fphar.2014.00247/full |
| _version_ | 1818243976740732928 |
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| author | Tarek A Leil Richard J Bertz |
| author_facet | Tarek A Leil Richard J Bertz |
| author_sort | Tarek A Leil |
| collection | DOAJ |
| description | The empirical hypothesis generation and testing approach to pharmaceutical research and development (R&D), and biomedical research has proven very effective over the last half-century; resulting in tremendous increases productivity and the rates of approval for New Drug Applications (NDA’s) at the Food & Drug Administration (FDA). However, as discovery of new therapeutic approaches for diseases with unmet medical need becomes more challenging, the productivity and efficiency of the traditional approach to drug discovery and development is diminishing. Innovative approaches are needed, such as those offered by Quantitative Systems Pharmacology (QSP) modeling and simulation. This systems approach to modeling and simulation can be used to guide the hypothesis generation and testing process in pharmaceutical R&D, in a manner similar to its adoption in other industries in the past. Embedding QSP into the existing processes within pharmaceutical discovery and development will be required in order to realize the full beneficial impact of this innovative approach. |
| first_indexed | 2024-12-12T14:09:41Z |
| format | Article |
| id | doaj.art-6fdcbdc4a0ec4327a8372b80fdfad366 |
| institution | Directory Open Access Journal |
| issn | 1663-9812 |
| language | English |
| last_indexed | 2024-12-12T14:09:41Z |
| publishDate | 2014-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj.art-6fdcbdc4a0ec4327a8372b80fdfad3662022-12-22T00:22:07ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122014-11-01510.3389/fphar.2014.00247101940Quantitative Systems Pharmacology Can Reduce Attrition and Improve Productivity in Pharmaceutical Research and DevelopmentTarek A Leil0Richard J Bertz1Bristol-Myers SquibbBristol-Myers SquibbThe empirical hypothesis generation and testing approach to pharmaceutical research and development (R&D), and biomedical research has proven very effective over the last half-century; resulting in tremendous increases productivity and the rates of approval for New Drug Applications (NDA’s) at the Food & Drug Administration (FDA). However, as discovery of new therapeutic approaches for diseases with unmet medical need becomes more challenging, the productivity and efficiency of the traditional approach to drug discovery and development is diminishing. Innovative approaches are needed, such as those offered by Quantitative Systems Pharmacology (QSP) modeling and simulation. This systems approach to modeling and simulation can be used to guide the hypothesis generation and testing process in pharmaceutical R&D, in a manner similar to its adoption in other industries in the past. Embedding QSP into the existing processes within pharmaceutical discovery and development will be required in order to realize the full beneficial impact of this innovative approach.http://journal.frontiersin.org/Journal/10.3389/fphar.2014.00247/fullSystems BiologyDrug discovery and developmentmodeling & simulationpharmacometricsQuantitative Systems PharmacologyPharmaceutical R&D |
| spellingShingle | Tarek A Leil Richard J Bertz Quantitative Systems Pharmacology Can Reduce Attrition and Improve Productivity in Pharmaceutical Research and Development Frontiers in Pharmacology Systems Biology Drug discovery and development modeling & simulation pharmacometrics Quantitative Systems Pharmacology Pharmaceutical R&D |
| title | Quantitative Systems Pharmacology Can Reduce Attrition and Improve Productivity in Pharmaceutical Research and Development |
| title_full | Quantitative Systems Pharmacology Can Reduce Attrition and Improve Productivity in Pharmaceutical Research and Development |
| title_fullStr | Quantitative Systems Pharmacology Can Reduce Attrition and Improve Productivity in Pharmaceutical Research and Development |
| title_full_unstemmed | Quantitative Systems Pharmacology Can Reduce Attrition and Improve Productivity in Pharmaceutical Research and Development |
| title_short | Quantitative Systems Pharmacology Can Reduce Attrition and Improve Productivity in Pharmaceutical Research and Development |
| title_sort | quantitative systems pharmacology can reduce attrition and improve productivity in pharmaceutical research and development |
| topic | Systems Biology Drug discovery and development modeling & simulation pharmacometrics Quantitative Systems Pharmacology Pharmaceutical R&D |
| url | http://journal.frontiersin.org/Journal/10.3389/fphar.2014.00247/full |
| work_keys_str_mv | AT tarekaleil quantitativesystemspharmacologycanreduceattritionandimproveproductivityinpharmaceuticalresearchanddevelopment AT richardjbertz quantitativesystemspharmacologycanreduceattritionandimproveproductivityinpharmaceuticalresearchanddevelopment |