Publications and Presentations

Finding the Rules for Successful Drug Optimisation

Summary

In this drug optimisation article, coauthored with Pfizer we discuss new ‘rule induction’ methods. These explore complex data to find interpretable, multi-parameter rules, tailored to any drug discovery objective, and are useful in identifying compounds with a higher chance of success. We illustrate this with applications to simple ‘drug like’ properties for oral drugs and to the exploration of experimental target inhibition data to find rules for selecting compounds with a low risk of cardio- and hepatotoxicity.

rule induction picture from Drug Optimization paper

Citation details

I. Yusof, F. Shah, T. Hashimoto, M. D. Segall, N. Greene, Drug Discovery Today (2014) 19(5) pp. 680-687
DOI: 10.1016/j.drudis.2014.01.005

 

Find out more

Visit the journal webpage to read the full published article. If you’d like to see a worked example of ‘rule induction’ for multi-parameter optimisation in action, take a look at our tutorial video.

INTERESTED IN DRUG OPTIMIZATION?

Discover StarDrop™

With its comprehensive suite of integrated software, StarDrop™ delivers best-in-class in silico technologies within a highly visual and user-friendly interface. StarDrop™ enables a seamless flow from the latest data through predictive modelling to decision-making regarding the next round of synthesis and research, improving the speed, efficiency, and productivity of the drug optimisation and discovery process.