Antibody development workflow

Step-by-step flow for end-to-end in silico antibody development with human oversight checkpoints.

Step 1 of 12 0% complete

Loops and iterations

Decision gates can send the workflow back to earlier steps. Wet laboratory outcomes update the model used in the next cycle.

Cycle 1 No active loop

Loop index

Readiness gate → revise: Fix inconsistent input schemas, numbering conventions, or missing context.
Epitope gate → refine or reframe: Adjust accessibility and conservation filters, or revise target assumptions and objectives.
Paratope gate → iterate design: Generate new designs, enforce diversity, and re-run complex modeling and scoring.
Developability and safety gate → fix and re-score: Propose liability-fixing variants (protect the paratope) and re-run screens; return to paratope refinement if the interface changes.
Learning loop → update weights or objectives: Incorporate wet laboratory outcomes to re-calibrate probabilities and update selection weights and constraints.

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