Start with the discovery question, then close the loop with validation.
BioForge focuses on therapeutic discovery. Each application uses Symbolia AI's AI scientist engine to reason over targets, molecules, biologics, models, assays, and validation loops.
Protein Target Intelligence
AI scientist workflows for target identification, validation evidence, disease biology, pathway context, and tractability assessment.
Read applicationSmall Molecule Design
Generative design and evidence-weighted prioritization for small molecules, with docking, ADMET, novelty, and synthetic feasibility in the loop.
Read applicationPeptides, Binders, and Antibodies
Design support for peptide therapeutics, protein binders, antibody discovery, developability triage, and validation-ready binding hypotheses.
Read applicationADMET and Developability
Integrated ADMET, toxicity, selectivity, physicochemical, developability, and risk triage across therapeutic modalities.
Read applicationDocking and Molecular Dynamics
Structure-aware workflows for binding-site analysis, docking review, pose triage, molecular dynamics, and simulation-informed prioritization.
Read applicationWet-Lab Validation Loops
Closed-loop planning that turns computational hypotheses into prioritized assays, validation readouts, and next-round learning.
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