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One-click generative drug design
Modern drug design software for medicinal chemists to spend less time integrating the latest technology and more time making medicines that matter.
Design the next best molecule with deep generative and predictive AI to get to the clinic 6x faster.
Andrew McTeague | Senior Scientist
“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. The ability to apply DeepMirror’s platform to any desired endpoint, whether it be potency, selectivity, or even ADME properties, empowers its users to make more informed decisions and to do so faster. We’re always looking for new tools to improve the efficiency of our DMTA cycles and DeepMirror helps ensure that no stone is left unturned.”
Andrew Stott | Director of Medicinal Chemistry
”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!”
Francesco A. Greco | Senior Research Scientist
"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”
Dr. Sam Butterworth | Senior Lecturer in Medicinal Chemistry
We found the DeepMirror interface very intuitive and user friendly, making it easy to import/export data and get started. 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. The DeepMirror team themselves were also great to work with, very responsive and clearly committed to developing a tool that works for users such as us. We are looking forward to using the software again when we have some larger projects running.
Andrew McTeague | Senior Scientist
“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. The ability to apply DeepMirror’s platform to any desired endpoint, whether it be potency, selectivity, or even ADME properties, empowers its users to make more informed decisions and to do so faster. We’re always looking for new tools to improve the efficiency of our DMTA cycles and DeepMirror helps ensure that no stone is left unturned.”
Andrew Stott | Director of Medicinal Chemistry
”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!”
Francesco A. Greco | Senior Research Scientist
"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”
Dr. Sam Butterworth | Senior Lecturer in Medicinal Chemistry
We found the DeepMirror interface very intuitive and user friendly, making it easy to import/export data and get started. 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. The DeepMirror team themselves were also great to work with, very responsive and clearly committed to developing a tool that works for users such as us. We are looking forward to using the software again when we have some larger projects running.
Andrew McTeague | Senior Scientist
“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. The ability to apply DeepMirror’s platform to any desired endpoint, whether it be potency, selectivity, or even ADME properties, empowers its users to make more informed decisions and to do so faster. We’re always looking for new tools to improve the efficiency of our DMTA cycles and DeepMirror helps ensure that no stone is left unturned.”
Andrew Stott | Director of Medicinal Chemistry
”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!”
Francesco A. Greco | Senior Research Scientist
"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”
Dr. Sam Butterworth | Senior Lecturer in Medicinal Chemistry
We found the DeepMirror interface very intuitive and user friendly, making it easy to import/export data and get started. 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. The DeepMirror team themselves were also great to work with, very responsive and clearly committed to developing a tool that works for users such as us. We are looking forward to using the software again when we have some larger projects running.
Andrew McTeague | Senior Scientist
“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. The ability to apply DeepMirror’s platform to any desired endpoint, whether it be potency, selectivity, or even ADME properties, empowers its users to make more informed decisions and to do so faster. We’re always looking for new tools to improve the efficiency of our DMTA cycles and DeepMirror helps ensure that no stone is left unturned.”
Andrew Stott | Director of Medicinal Chemistry
”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!”
Francesco A. Greco | Senior Research Scientist
"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”
Dr. Sam Butterworth | Senior Lecturer in Medicinal Chemistry
We found the DeepMirror interface very intuitive and user friendly, making it easy to import/export data and get started. 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. The DeepMirror team themselves were also great to work with, very responsive and clearly committed to developing a tool that works for users such as us. We are looking forward to using the software again when we have some larger projects running.
Andrew McTeague | Senior Scientist
“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. The ability to apply DeepMirror’s platform to any desired endpoint, whether it be potency, selectivity, or even ADME properties, empowers its users to make more informed decisions and to do so faster. We’re always looking for new tools to improve the efficiency of our DMTA cycles and DeepMirror helps ensure that no stone is left unturned.”
Andrew Stott | Director of Medicinal Chemistry
”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!”
Francesco A. Greco | Senior Research Scientist
"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”
Dr. Sam Butterworth | Senior Lecturer in Medicinal Chemistry
We found the DeepMirror interface very intuitive and user friendly, making it easy to import/export data and get started. 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. The DeepMirror team themselves were also great to work with, very responsive and clearly committed to developing a tool that works for users such as us. We are looking forward to using the software again when we have some larger projects running.
Andrew McTeague | Senior Scientist
“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. The ability to apply DeepMirror’s platform to any desired endpoint, whether it be potency, selectivity, or even ADME properties, empowers its users to make more informed decisions and to do so faster. We’re always looking for new tools to improve the efficiency of our DMTA cycles and DeepMirror helps ensure that no stone is left unturned.”
Andrew Stott | Director of Medicinal Chemistry
”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!”
Francesco A. Greco | Senior Research Scientist
"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”
Dr. Sam Butterworth | Senior Lecturer in Medicinal Chemistry
We found the DeepMirror interface very intuitive and user friendly, making it easy to import/export data and get started. 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. The DeepMirror team themselves were also great to work with, very responsive and clearly committed to developing a tool that works for users such as us. We are looking forward to using the software again when we have some larger projects running.
Andrew McTeague | Senior Scientist
“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. The ability to apply DeepMirror’s platform to any desired endpoint, whether it be potency, selectivity, or even ADME properties, empowers its users to make more informed decisions and to do so faster. We’re always looking for new tools to improve the efficiency of our DMTA cycles and DeepMirror helps ensure that no stone is left unturned.”
Andrew Stott | Director of Medicinal Chemistry
”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!”
Francesco A. Greco | Senior Research Scientist
"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”
Dr. Sam Butterworth | Senior Lecturer in Medicinal Chemistry
We found the DeepMirror interface very intuitive and user friendly, making it easy to import/export data and get started. 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. The DeepMirror team themselves were also great to work with, very responsive and clearly committed to developing a tool that works for users such as us. We are looking forward to using the software again when we have some larger projects running.
Andrew McTeague | Senior Scientist
“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. The ability to apply DeepMirror’s platform to any desired endpoint, whether it be potency, selectivity, or even ADME properties, empowers its users to make more informed decisions and to do so faster. We’re always looking for new tools to improve the efficiency of our DMTA cycles and DeepMirror helps ensure that no stone is left unturned.”
Andrew Stott | Director of Medicinal Chemistry
”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!”
Francesco A. Greco | Senior Research Scientist
"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”
Dr. Sam Butterworth | Senior Lecturer in Medicinal Chemistry
We found the DeepMirror interface very intuitive and user friendly, making it easy to import/export data and get started. 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. The DeepMirror team themselves were also great to work with, very responsive and clearly committed to developing a tool that works for users such as us. We are looking forward to using the software again when we have some larger projects running.
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Your data in safe hands
Data & IP
Any molecular structures and other data you upload or generate on our app will always be yours. You only pay to use the app and that's it.
Security
All your data is stored in a private cloud with state-of-the-art industry security standards and is only accessible by you and your team. ISO27001 certified.
Encryption
All data is encrypted both in transit and at rest. Data transmitted between your devices and our servers is encrypted using ultra secure protocols
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