DATA-DRIVEN DRUG DESIGN®
Using the power of cutting-edge artificial intelligence (AI) to revolutionize small molecule drug design
Drug Discovery Has Changed
Designing a new drug is more challenging and complex than ever. Disease-modifying medicines for Alzheimer’s, immuno-oncology, metabolic disease or regenerative medicine require a design process that matches the complexity of the underlying biology.
Numerate has mastered the conflicting demands of complex signal processing by applying advanced, proprietary AI, evolved to use all available data – literally everything the industry currently knows, against multiple, simultaneous drug design objectives. We model real biology and apply our models at a massive scale, sifting through noise to follow signals that elude other approaches.
Numerate has created an algorithm-centric process that drives all preclinical decisions, from hit identification through the nomination of a clinical candidate. Our platform is battle-tested and refined by a decade of experience tackling the industry’s hardest problems. It goes beyond modeling protein binding to impact the PK, ADME, and toxicity challenges of discovery.
Numerate is applying the platform to unlock valuable biology not easily translated by the traditional approaches. Our focus is on building a valuable pipeline– on our own and through innovative collaborations with academic, government and industry partners. After all, the ultimate promise of AI-guided drug design is not just a faster, cheaper discovery process, but the delivery of better treatments for human disease.
Brandon, our CTO, will be presenting at Basel Life. The meeting aims to be Europe’s leading congress in the life sciences, showcasing cutting-edge science and technology. It brings together preeminent researchers in the field, and offers talented young scientists the possibility to present themselves.
Brandon Allgood, our CTO, will be teaching a tutorial session at the AI in Pharma Summit. An event for the challengers, disruptors and re-thinkers as Machine Learning and Deep Learning transform pharmaceutical R&D.
The 2017 CBD S&T Conference offers the opportunity to review the latest and most dynamic developments in basic and applied scientific research within the chemical and biological defense arena.