Optibrium demonstrates accelerated lead optimisation in complex agrochemical development
Optibrium’s QuanSA 3D-QSAR method uses an active learning approach to successfully and more efficiently identify a mimic of a macrocyclic natural product
Develop advanced MPO strategies and target the right compounds, faster.
We’re diving back into our favourite subject: multi-parameter optimisation.
Let Optibrium CSO Ed Champness convince you of the importance of a tailored approach to multi-parameter optimisation (MPO). While it’s well understood that compound design involves MPO, how do we know which properties are going to be most important for identifying the best compounds? Ed will demonstrate ways we’ve developed to help you build scoring profiles using historical data and analyse the sensitivity of your decisions to the criteria you choose.
Learn how you can take a more fine-tuned, targeted approach to optimisation, to accelerate your discovery, and pinpoint better compounds, faster.
This webinar follows on from July’s popular ‘Finding balance in drug discovery with multi-parameter optimisation’ event. Whether you were with us last time, or are just keen for new MPO insights, this webinar is for anyone who wants to:
- Avoid being led astray by poor quality, mixed source data
- Be confident in their compound selection criteria
- Understand the best approaches to MPO in any given scenario
- Work through live examples of MPO done right, using StarDrop’s MPO Explorer software
More MPO resources
Finding the rules for successful drug optimisation
Summary In this drug optimisation article, co-authored with Pfizer we discuss new ‘rule induction’ methods. These explore complex data to…
Mastering multi-parameter optimisation
Develop advanced MPO strategies and target the right compounds, faster.
We’re diving back into our favourite subject: multi-parameter optimisation.
