Multi-parameter optimisation strategy in StarDrop 

Join us on 24 April

Probabilistic Scoring is StarDrop’s approach to multi-parameter optimisation, helping you to quickly prioritise those compounds most likely to be successful for your project and avoid missed opportunities.  

In this training session we will show you how to create scoring profiles in StarDrop customised for you projects and data, including how to build desirability functions for properties. 

Using the Sensitivity Analysis in StarDrop’s MPO Explorer module, we will next explore how to test the robustness of your decisions to the selection criteria you have chosen. 

Finally, we will use MPO Explorer’s Profile Builder to suggest scoring profiles from historic data that can then be used prospectively to guide project decisions. 

As always, we will answer your questions about any aspect of working in StarDrop, and we will also share our own hints and tips. 

This training is open to all, whether current customers or not. However, to receive the data files and follow along with what’s going on yourself, you must already have the relevant software and modules.
Optibrium reserves the right to cancel any registrations without notice.

Meet the team

Our team of in-house scientists is based in the UK and US.

Tamsin Mansley, PhD

President, Optibrium Inc. and Global Head of Application Science
Location: USA

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Tamsin Mansley, PhD

Daniel Barr

Senior Application Scientist
Location: USA

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Daniel Barr, Senior Application Scientist

Alessia Centi

Application Support Science Team Lead
Location: UK

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Alessia Centi, Application Support Science Team Leader

Barry Wong

Application Support Scientist
Location: UK

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Barry Wong, Application Support Scientist