The Pioneering Platform for AI-based Degrader Design

 

 

Celeris® One™

From serendipity to rational design.

From Disease to Target

We automate phenotypic screening and sequencing to identify and validate pathogenic proteins. We use active learning and data augmentation with in silico computations and in vitro experiments for rapid target discovery. 

From Target to Hit to Lead

We screen targets within the human proteome for potential off- and anti-targets, thus identifying adversarial effects. Once these hidden relationships are identified, existing databases with millions of small molecules are exploited to find the most specific ligands to targets. By deeply understanding the chemical space we exploit, we generate novel ligands based on predicted molecular properties.

From Lead to Validation

Deep Learning aided synthesis planning enables the generation of lead molecules for validation in an automated lab.

We create more lead molecules tailored to the desired properties by iterating the validation results with the previous module.

From Disease to Target

We automate phenotypic screening and sequencing to identify and validate pathogenic proteins. We use active learning and data augmentation with in silico computations and in vitro experiments for rapid target discovery. 

From Target to Hit to Lead

We screen targets within the human proteome for potential off- and anti-targets, thus identifying adversarial effects. Once these hidden relationships are identified, existing databases with millions of small molecules are exploited to find the most specific ligands to targets. By deeply understanding the chemical space we exploit, we generate novel ligands based on predicted molecular properties.

From Lead to Validation

Deep Learning aided synthesis planning enables the generation of lead molecules for validation in an automated lab.

We create more lead molecules tailored to the desired properties by iterating the validation results with the previous module.

Closed-loop, end-to-end degrader discovery platform