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Date/Time
Date(s) - 02 Jun 2021
4:00 pm - 5:00 pm

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Date: June 2, 2021

Time: 4 pm BST / 11 am EDT / 8 am PDT

Register Today on Zoom

 

Webinar Summary

Join Genentech and Optibrium for this discussion of Alchemite™, a novel deep learning approach, and its application to optimizing kinase profiling programs. Using Alchemite™ reduces the number of kinase assays required to accurately predict the full kinase selectivity profile, effectively accelerating experimental programs.

 

The team will demonstrate the method’s performance on a data set of approximately 650 kinases and 10,000 compounds, significantly outperforming state-of-the-art quantitative structure-activity relationship (QSAR) approaches, including multi-target deep learning. Furthermore, we will discuss Alchemite’s unique ability to provide reliable prediction-uncertainty-estimates that enable the selection of the most informative kinase assays and which compounds to test.

 

Ideal for:

Scientist, Sr. Scientist, Program Manager, Associate Director, Director

 

Speakers

  • Matt Segall, CEO, Optibrium
  • Samar Mahmoud, Senior Scientist, Optibrium
  • Fabio Broccatelli, Senior Scientist, Genentech