Applying med chem transformations and multi-parameter optimisation
Summary This article on applying med chem transformations and multi-parameter optimisation describes the concepts and algorithms underlying StarDrop’s Nova module. We’ve developed…
This worked example uses Inspyra™ to interactively explore optimisation strategies to achieve a selective inhibitor of DPP-4 with appropriate physicochemical properties. Starting from a data set of compounds representing three chemical series based on pyrrolidine, cyanopyrrolidine, piperazine and 1,4-diazepane cores, we will explore approaches to expand on the diversity of compounds in the data set and consider design strategies around a specific compound of interest.
To try this example yourself, download the example project file and follow the step-by-step guidelines.
Please note that the tutorial explores core features of StarDrop and the Inspyra and ADME QSAR modules. If you don’t have access to this module and would like to arrange a trial, please email us at info@optibrium.com
Summary This article on applying med chem transformations and multi-parameter optimisation describes the concepts and algorithms underlying StarDrop’s Nova module. We’ve developed…
Generative molecular design provides new exciting avenues of chemical space exploration. But how can we use these methods effectively to assess many optimisation strategies and find the compounds destined for success in our projects?
Join Dr Matt Segall and Dr Michael Parker as they explore state-of-the-art generative chemistry, and discuss the importance of an augmented intelligence approach for successful discovery.
Why have generative chemistry methods been unable to redefine modern drug discovery and compound idea generation?’ In this session we shed light on a typical shortcoming of generative methods related to prioritising promising over unsuitable directions for exploration.