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Table 1 Parameters used in simulation a

From: Simulating the drug discovery pipeline: a Monte Carlo approach

Probability of achieving Hit to Lead milestone 0.80
Probability of achieving Lead Optimization milestone 0.75
Probability of achieving Preclinical Development milestone 0.85
Percentage of follow-on Hit to Lead projects 0.25
Percentage of chemistry-driven Hit to Lead projects 0.5
Percentage of prioritized Lead Optimization projects 0
Target no. Hit to Lead CHEMISTS (chemistry-driven) per team 2
Target no. Hit to Lead BIOLOGISTS (chemistry-driven) per team 3
Target no. Hit to Lead CHEMISTS (biology-driven) per team 1
Target no. Hit to Lead BIOLOGISTS (biology-driven) per team 3
Target no. Hit to Lead CHEMISTS (follow-on) per team 2
Target no. Hit to Lead BIOLOGISTS (follow-on) per team 1
Target no. Lead Optimization CHEMISTS per team 4
Target no. Lead Optimization BIOLOGISTS per team 4
No. simultaneous Lead Optimization projects supported by DMPK 0
Percent impact on timeline by DMPK support 0.1
Target cycle time (months) to achieve Lead Optimization 18
Target cycle time (months) to achieve Preclinical Development 24
Group size at 75% FTE efficiency 20
Group size at 50% FTE efficiency 40
  1. aSee Experimental section for a detailed explanation of the control variables.