mBER
Open antibody binder design by backprop through AlphaFold-Multimer, format-specific.
Developer: Manifold Bio
Overview
- Developer
- Manifold Bio
- Category
- Antibody-specific design
- Commercial rights
- Commercial OK
- Commercial cost
- Free commercially
- Compute
- Heavy GPU
- Open weights
- Yes
- Last verified
Capabilities
Designs antibody binders in a chosen format. Input: target structure plus a framework/format template (VHH, Fab, scFv) and epitope; output: designed CDR sequences and predicted complexes, by optimising through AlphaFold-Multimer with sequence conditioning and structure templates.
When to use it
A good open alternative to RFantibody when you care about the final antibody format rather than a generic binder, and you already have AlphaFold2 infrastructure. Backprop designs are GPU-expensive per candidate.
Input / Output
- Input
- target structure plus a framework/format template (VHH, Fab, scFv) and epitope
- Output
- designed CDR sequences and predicted complexes, by optimising through AlphaFold-Multimer with sequence conditioning and structure templates
Compute
Heavy GPU. Other tools with this compute profile →
Commercial Licensing
Commercial rights — may a company use it?
Commercial use OKLicence as writtenMIT License
MIT LICENSE file (Copyright 2025 Manifold Bio), and the README's License section repeats MIT. Caveat to check yourself: its download_weights.sh pulls roughly 9 GB of third-party weights (AlphaFold2, NanoBodyBuilder2, ESM-2) whose own terms apply - AlphaFold2 parameters are CC BY 4.0 and the others are permissive, which is why this still reads as a yes.
The licence read at the source allows use by a company. Attribution or copyleft conditions may still apply — read the note.
Commercial cost — is commercial use free of charge?
Free for commercial useNo fee: MIT code and freely downloadable third-party weights. Your cost is GPU time, which for backprop-through-AF2 design is the real expense.
Price and rights are separate: this panel is about money, the panel above is about permission.
- Commercial OK ≠ Free of charge. A tool can be licensed for company use and still need a paid licence for a dependency (BindCraft → PyRosetta).
- Free download ≠ Commercially licensed. Weights you can download at no cost may still forbid commercial use (AlphaFold 3).
- Unverified ≠ Commercially permitted. If no published statement settles it, treat it as unknown — not as a yes.
- Every component counts. Each status considers the code licence, the model-weights terms, required dependencies and any terms of use.
Model Weights
Open weights. A separate weights licence is Not documented as its own field; where weights carry different terms from the code, that is stated in the licence explanation above.
Dependencies
Not documented as a separate field. Any dependency that affects commercial use (for example a paid PyRosetta licence) is named in the licence and cost explanations above.
Official References
- Official site / repo
- github.com/manifoldbio/mber-open
From the makers of FoldScout
From AI Design to Wet-Lab Validation
Designed a promising protein or antibody? Seq2Study helps translate AI-generated sequences into experimental data.
- Protein Expression
- Protein Purification
- Binding Affinity
- Aggregation Assessment
- Stability Evaluation
- Developability Assessment
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