September 14, 2016

Authors:
Tom Reynolds, PhD
Matt Wessel, PhD
Sanjay Konagurthu, PhD
Marshall Crew, PhD

We know the cost of developing a prescription drug is estimated at $2.6 billion, and takes 10 to 15 years from target selection to drug approval with an overall success rate around 10%. Furthermore, only about 35% of drug discovery projects succeed in delivering experimental drugs ready for clinical testing.

In order to improve productivity, companies have been leveraging computational chemistry to screen and identify potential drug candidates at the earliest stages of drug discovery. These methods are a viable approach to shortening development timelines and achieving better success.