Title |
Quantitative Systems Pharmacology can reduce attrition and improve productivity in pharmaceutical research and development
|
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Published in |
Frontiers in Pharmacology, November 2014
|
DOI | 10.3389/fphar.2014.00247 |
Pubmed ID | |
Authors |
Tarek A Leil, Richard Bertz |
Abstract |
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 at the Food and 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 76 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 24% |
Researcher | 16 | 21% |
Student > Master | 10 | 13% |
Other | 6 | 8% |
Professor > Associate Professor | 4 | 5% |
Other | 8 | 10% |
Unknown | 15 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 18% |
Pharmacology, Toxicology and Pharmaceutical Science | 14 | 18% |
Medicine and Dentistry | 8 | 10% |
Engineering | 5 | 6% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Other | 14 | 18% |
Unknown | 19 | 24% |