Helping biotech teams accelerate target prioritisation and reduce experimental uncertainty.
4BLabs — AI for Biological Knowledge Discovery
We transform fragmented biomedical data into explainable discovery insights using ontology-guided heterogeneous graph learning.
Biomedical Data to Biomedical Discovery
Raw biomedical datasets including literature, omics data, and molecular databases.
Structured biological information enriched using ontologies and domain-specific relationships.
Heterogeneous networks connecting genes, diseases, proteins, and pathways.
AI-driven ranking of biologically relevant targets and hypotheses for further investigation.
Fragmented Data Landscape
Biomedical data is distributed across literature, databases, and omics sources, making integration and analysis difficult.
Slow Hypothesis Generation
Manual exploration of biological relationships slows discovery and limits the ability to prioritise high-value targets.
High Experimental Cost
Testing low-probability targets leads to significant time and financial inefficiencies in early-stage discovery.
Discovery Efficiency Comparison
How 4BLabs Reduces Experimental Waste
4BLabs improves target prioritisation by focusing experimental efforts on the most biologically plausible candidates.
Focus on high-probability targets
Reduce experimental cost and time
Increase likelihood of meaningful discovery
Example Discovery Output
Top-ranked computational hypotheses generated by the 4BLabs platform. Predictions are supported by literature signals where available and may require further experimental validation.
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Target / Gene
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Biological Context
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Evidence Level
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|---|---|---|
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Expression in female reproductive system
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Literature-supported (20 PubMed hits)
|
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Protein interaction with RPS27A
|
Novel candidate
|
|
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Expression in large intestine
|
Novel candidate
|
|
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Underexpression in leukocytes
|
Literature-supported (8 PubMed hits)
|
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Expression in female reproductive system
|
Literature-supported (1 PubMed hits)
|
|
OR51G1
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Interaction with GNAL
|
Novel candidate
|
|
DAD1
|
Expression in bronchial epithelial cells
|
Novel candidate
|
|
CYB5R4
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Expression in cardiac ventricle
|
Novel candidate
|
|
PAK3
|
Expression in neocortex
|
Literature-supported (4 PubMed hits)
|
|
FSTL1
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Reaction associated with AFP
|
Novel Candidate
|