Discovery Programs
Target Discovery
Our in-house developed platform preDict uses AI and machine learning for its target discovery. The platform enables a rapid biological and data-driven approach to target discovery and target validation.
Why choose Gubra?
- Track record of ingenuity-based target discovery
- Streamlined database
- Rapid off-the-shelf translational models
- Integrative target discovery qualification and validation
- Discovery on your target


Consult with Sebastian M.N. Heimbürger
Manager, Business Development
Join forces with Gubra, a trustworthy discovery partner.
AI-driven target discovery & rapidly qualified in vivo PoC

Target Discovery
Streamline for Target Discovery
The preDict platform combines state-of-the-art translational preclinical data to identify novel druggable targets.
Target Qualification
Powered by algorithms
The preDict‘s algorithm identifies and ranks targets based on algorithms, using advanced analytical methods such as RNAseq, scRNAseq, AI-assisted histopathology and biochemical assays on samples.
Target Validation
Strong hit rate
Several novel targets have already been identified using our preDict platform and validated in our in vivo pharmacology models.

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The preDict platform enables flexible inter-organ target discovery
preDict unifies various types of data with advanced AI, machine-learning, and scientific ingenuity fueling holistic insights into biology and data-driven target discovery.
Target discovery areas

- State-of-the-art preclinical NASH database
- In-depth characterization of preclinical models
- Partnership with Silence Therapeutics : identification of selected novel liver-directed targets (preDict)

- Preclinical and clinical database with translational models
- In-depth characterization of preclinical models

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Expertise in preclinical obesity, 3D imaging and sequencing technology
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Isolation and sequencing of key CNS areas for body weight set-point
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Partnership with Boehringer Ingelheim : uncovering the next-generation of anti-obesity treatments (preDict)

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Translatable preclinical lungs fibrosis models for efficacy and target discovery
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Database with integrated AI-histopathological Ashcroft scoring and RNA-sequencing for target prediction

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Integrative database of translatable data in numerous disease models
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Mapping of the biological interplay in digestive and metabolic diseases
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Characterization of fibrosis in IBD and Crohn’s disease

- Early inflammation
- Late inflammation
- Early fibrosis
- Late fibrosis
Related pages
For further information
Contact us
Gubra
Hørsholm Kongevej 11B
2970 Hørsholm
Denmark
+45 3152 2650