Translating Biological Questions into Computational Models
Discovery Lab provides a structured, evidence-based pipeline for testing computational biology hypotheses before wet-lab validation.
Disease Mechanisms
Deconstructing molecular cascades driving lysosomal storage disorders and neurodegeneration.
Therapeutic Hypotheses
Virtual chaperone screening and allosteric modulator binding energy evaluation.
Molecular Pathways
Reconstructing sterol trafficking feedback networks and lysosomal pH homeostasis.
Protein Function & Folding
Simulating residue contact dynamics across mutated membrane transport domains.
Literature Mining NLP
Automated extraction of rare gene-phenotype associations from PubMed knowledge graphs.
Systems Biology Flux
Flux balance constraint models for cellular lipid droplet accumulation.
Interactive BioDiscovery Workflow Engine
Select any stage in our 5-step scientific pipeline to inspect the computational toolset, data inputs, and expected research deliverables.
01 //Question Phase
ActiveIdentify unresolved biological anomaly or unannotated rare variant phenotype.
- PubMed API
- ClinVar Explorer
- Literature NLP Engine