All tools

The Ranomics protein-design tool catalog.

Run feasibility scoring, generative binder design, structure prediction, and library planning from a single USD wallet. Every pipeline lands ranked candidates with downloadable PDBs and hands off cleanly into Ranomics' yeast display CRO when a design is worth validating.

Step 1 Score the target Use Epitope Scout to identify candidate epitopes and rate binder-design feasibility before burning GPU-hours.
Step 2 Generate binders Run BindCraft, RFdiffusion, BoltzGen, RFantibody, or PXDesign on a target PDB. Score, clone, tweak, re-run.
Step 3 Validate in silico Refold candidates with AlphaFold2, ColabFold, or ESMFold. Use ProteinMPNN to redesign sequences on a fixed backbone.
Step 4 Validate in the lab Hand the shortlist into a Ranomics yeast display campaign. Same team, same data loop — design and wet-lab share one pipeline.
Scope the target 2 tools
De novo minibinders 3 tools
Antibodies (VHH) 1 tool
Dual capabilities (minibinder + antibody scaffolds) 1 tool
Sequence on a backbone 1 tool
Structure prediction 4 tools
Check developability 1 tool
Side-by-side comparison runtime · paper
Tool Best for Typical runtime Paper / Repo
AlphaFold2 af2 Pick AF2 when you need the gold-standard structure prediction with calibrated pLDDT and PAE. For faster single-sequence folds use ESMFold (D4); for affinity-aware folds use Boltz-2 (D6).
runtime: 5 to 10 min
BindCraft bindcraft Pick BindCraft when you have a target PDB plus known hotspot residues and want de novo 60 to 150 aa protein binders.
runtime: 45 min
Boltz-2 boltz2 Pick Boltz-2 to validate a designed binder against your antigen. Single-sequence cofold with interface confidence (ipTM), antibody-trained and orthogonal to AF2-multimer. For sequence design, use ProteinMPNN; for de novo backbones, use RFantibody, BindCraft, or BoltzGen first.
runtime: <1 min to ~3 min
BoltzGen boltzgen Pick BoltzGen when you want one model that can design mini-proteins, nanobodies, antibodies, or peptides against the same target, or when your target involves glycans, post-translational modifications, or non-canonical residues.
runtime: 15 to 60 min
ColabFold colabfold Pick ColabFold when you need a fast no-MSA fold. 1 to 2 min per run, no MMseqs2 round-trip. Pair with AF2 standalone (D2) when you want full MSA and templates, or with ESMFold (D4) for single-sequence monomers on an even smaller GPU.
runtime: 1 to 2 min
ESMFold esmfold Pick ESMFold when you need the fastest possible monomer fold. No MSA, no multimer, single-sequence ESM-2 language-model prediction. Pair with ColabFold (D3) for multimers or AF2 standalone (D2) for full MSA-backed accuracy.
runtime: 0.5 to 1 min
ProteinMPNN mpnn Pick ProteinMPNN when you already have a backbone and need candidate sequences. For de novo backbone generation, use RFantibody, BindCraft, or BoltzGen first and feed the output PDB here.
runtime: 1 min
PXDesign pxdesign Pick PXDesign when AF2 confidence against a defined target matters and you want real ipTM, pLDDT, and pAE on every candidate. For hallucination-driven binder design without AF2 filtering use BindCraft, for antibody and nanobody CDRs use RFantibody, and for target structure generation without binder design use BoltzGen.
runtime: 30 to 60 min
RFantibody rfantibody Pick RFantibody when you need a VHH (nanobody) scaffold against a target PDB. For de novo non-antibody binders, use BindCraft. For designs involving modified residues or glycans, use BoltzGen.
runtime: 15 to 60 min
RFdiffusion rfdiffusion Pick RFdiffusion when you want general de novo binder design scored by AF2 multimer (ipTM, pLDDT, i_pAE). For antibody and nanobody scaffolds use RFantibody, for AF2-IG initial-guess scoring use PXDesign, and for hallucination-driven binders without AF2 filtering use BindCraft.
runtime: 15 to 30 min