“Structure enablement is a key inflection point for many drug discovery programs. However, getting to this point is not trivial, even with experimental evidence of ligand binding. deepmirror quickly enabled us to leverage empirical data in conjunction with AI structure prediction models to develop testable design hypotheses for our lead compounds.”

"We found the deepmirror interface very intuitive and user friendly. The AI prediction is easy to use and did a great job of predicting/classifying potency of unknown compounds when applied to larger data sets, and the generative AI made sensible chemical suggestions that could be made and tested."

"We used the deepmirror App on an active drug discovery program to predict the experimental biological activity outcome of our whole proprietary library and identified and validated novel active scaffolds”

”The deepmirror App provides a user-friendly interface for Medicinal chemists to integrate AI into the design of new drugs. We look forward to seeing how the platform can help inspire the next generation of small molecule CNS therapeutics!”

“deepmirror is a huge step forward in the democratization of ML models and their application in drug discovery. Its user-friendly interface enables medicinal chemists of all levels to deploy this powerful approach in a fraction of the time. deepmirror helps ensure that no stone is left unturned.”