Guide your projects
With Proven AI Drug Discovery
Cerella™ uses a unique deep learning approach to overcome limitations in drug discovery data, reducing costs and accelerating drug discovery cycles. Cerella highlights high-quality compounds with confidence, finding hidden opportunities caused by missing, uncertain or inaccurate data and prioritises the most valuable experiments. From working with early hits to nominating preclinical candidates, Cerella delivers industry-leading results, designed for enterprise deployment and integrating with experimentalist’s workflows.
ACCELERATE YOUR DISCOVERY CYCLES
AI-Guided Drug Discovery
Proactively highlight high-quality compounds by ‘filling in’ sparse data
Increase confidence in decision making, identify hidden opportunities, flag outliers and false negatives
Translate artificial intelligence insights into the planning of experiments to focus on the most valuable measurements
Gain more value from your compound data, accurately predicting complex endpoints, intractable with conventional QSAR modelling
Add value at any scale, from individual project datasets to global compound data repositories
AI Drug Discovery Case Studies
AI Without The Hype
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, and proven Cerella’s benefits in several case studies, from individual project-level datasets up to global compound data repository level investigations.
Cerella uses a unique, peer-reviewed deep learning method, with demonstrated successes in drug discovery
Guiding Drug Optimisation Using Deep Learning Imputation and Compound Generation
Deep Imputation on Large-Scale Drug Discovery Data
Imputation of Assay Bioactivity Data Using Deep Learning
Practical Applications of Deep Learning to Impute Heterogeneous Drug Discovery Data
CLOUD DEPLOYMENT AND
Cerella is secure and scalable, offering cloud-enabled deployment, scaling from individual projects to global pharma databases.
REAL WORLD CASE STUDIES
Predicting PK From Limited ADME Data With Deep Learning
Watch our webinar introducing a real world case study where we applied Cerella’s deep learning methods to guide a drug discovery project. Our collaborators had identified potential compounds with good activity profiles but needed to improve their pharmacokinetic profiles to achieve better efficacy.
WOULD YOU LIKE TO TRY CERELLA?
Get In Touch
To trial Cerella please complete the form and a member of the team will get in touch to understand your needs and get you set-up with a license that works best for you.