Extract more value from your compound data, confidently target high-quality compounds and accelerate discovery cycles
AI-Guided Drug Discovery
Use deep learning imputation to:
'Fill in' missing data to proactively highlight high-quality compounds – identify new opportunities with confidence
Identify experimental outliers – draw attention to experimental errors, unexpected SAR and false negatives
Target the most valuable measurements to progress the best compounds for expensive, downstream experiments
Apply virtual screening across multiple endpoints to target the best compounds for synthesis
Cerella™ uses a unique, peer-reviewed deep learning method, with demonstrated successes in drug discovery.
Cerella™ is powered by Alchemite™, a deep learning method developed by Optibrium’s technology partner Intellegens Limited. In collaboration with pharmaceutical and biotechnology partners, Optibrium has rigorously demonstrated Alchemite’s unique benefits over conventional modelling methods in peer-reviewed studies [1,2,3], resulting in reductions in cost and time of discovery cycles.
Cerella™ offers cloud-enabled deployment, scaling from individual projects to full corporate compound repositories, implementing multi-level security, fully under your control. Data are fully encrypted and anonymised in the cloud.
Automatically refresh with the latest data through a direct connection with your data sources
Fill in a ‘massive matrix’ of experimental and imputed data, addressing the challenge of ‘big data’ to make the results easily accessible
Provide seamless access to the results and models via StarDrop™ or any platform.
Offer multi-level security, anonymisation and encryption to ensure the confidentiality of your compounds and data