toolbio.tools / RosettaCommonsJune 20, 2026
RFantibody
RFantibody (Nature 2025) is an integrated pipeline for structure-based de novo antibody and nanobody design, combining RFdiffusion (backbone generation), ProteinMPNN (CDR sequence design), and fine-tuned RoseTTAFold2 (structure validation). Cryo-EM confirms atomic accuracy of designed VHHs targeting influenza haemagglutinin and C. difficile toxin B. Free for academic and commercial use.
RFantibody
End-to-end computational pipeline for designing antibodies and nanobodies from scratch against a user-specified epitope, validated at atomic resolution by cryo-EM.
- Step 1 — Backbone generation: fine-tuned RFdiffusion conditioned on target epitope
- Step 2 — Sequence design: ProteinMPNN selects CDR sequences compatible with generated scaffold
- Step 3 — Validation: fine-tuned RoseTTAFold2 ranks and filters designs
- Generates VHH nanobodies and full antibody Fv fragments
- Published in Nature 2025 (Bennett et al.); open-source under MIT