We are delighted to join forces with PostEra to discuss how AI, machine learning and other computational tools can support the drug discovery process, by bringing you feasible synthetic routes to your target compounds.
Join us 13 April 16:00 BST| 11:00 EDT| 8:00 PDT to:
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Discover more about synthesis prediction and synthesis-aware design for small molecule drug discovery.
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Learn how AI tools can help identify effective synthetic routes as part of a seamlessly integrated data workflow.
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Watch live demonstrations of PostEra’s Manifold synthesis prediction tool, Optibrium’s StarDrop drug discovery software, and their combined applications.
Following the presentations there will be an interactive Q&A session, so please come prepared with any questions specific to your area of interest!
More Information on StarDrop and Manifold:
StarDrop is Optibrium’s comprehensive drug discovery platform for small molecule design, optimisation and data analysis. It 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 discovery process.
Manifold, a subset of PostEra’s broader in-house medicinal chemistry platform, is a powerful retrosynthesis software that uses machine learning algorithms to select the best scalable routes for compound synthesis. To streamline project timelines, starting materials which are readily available to purchase can be easily identified through dynamic connections to contract research organisations, globally.
PostEra and StarDrop are collaborating to integrate StarDrop with Manifold, providing users with the latest and most innovative technology to help scientists to further their R&D projects. Learn more.
