Antibody engineering
Move from antigen preparation to antibody generation, structural review, affinity maturation, and candidate triage in one secure computational workspace.
Trusted by researchers at leading biotech, pharmaceutical, academic, and materials organizations
From antigen to candidate
Use specialized models at each stage, retain native confidence and affinity signals, and advance a diverse candidate set into experimental validation.
Repair antigen structures, model antibody candidates, and establish the structural context needed for design and evaluation.
Create target-conditioned antibodies or nanobodies, redesign selected regions, and explore affinity-improving variants.
Compare predicted affinity, sequence liabilities, stability, viscosity, and humanness before selecting candidates to test.
Designed around the research
Available now
Combine generative design with independent structural, affinity, and developability checks instead of relying on one model score.
Design antigen-conditioned antibody structures and sequences.
Generate antibody, nanobody, and protein binder candidates.
Design and mature antibodies with multi-objective ranking.
Predict antibody, nanobody, and TCR structures.
Compare antibody-antigen affinity signals.
Assess humanness and propose humanized sequences.
From the Neurosnap blog
Design guide
Explore sequence-structure co-design for antigen-specific antibody CDR generation and candidate review.
Read articleWorkflow guide
See how target context, design mode, hotspots, templates, and fixed positions shape an antibody campaign.
Read articleSecurity & privacy
Submitted data and generated results remain confidential, with ownership retained by your team.
Only you and authorized colleagues can access submitted data and results.
Your results and intellectual property remain yours. No royalties or equity.
Platform controls help protect sensitive computational research.
Onboarding and integration support help organizations scale confidently.
Engineer with context
Design, inspect, and prioritize candidates while keeping structure, affinity, and developability evidence connected.
