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Simulating the drug discovery pipeline: a Monte Carlo approach

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Figure

Figure 6 Transition probability matrix for the discovery milestone system using values reported by Paul and  co-workers 1 .
Figure 7 Simulation results using the assumptions outlined in Table 1. Output values are the average number of preclinical candidate compounds generated per year for a given combination of chemists and biologists.
Figure 9 Contour plot showing relationship between number of chemists, biologists and predicted output for a 1:1 ratio of high priority and standard priority lead optimization campaigns
Figure 13 Productivity difference map between two FTE efficiency simulations that systematically varied M and N for 18 chemists and 18 biologists (1:1 ratio of high priority to standard priority lead optimization projects)
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