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3 changes: 0 additions & 3 deletions docs/releases/rfd3/examples/README.md

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118 changes: 63 additions & 55 deletions models/rf3/README.md

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{
"seq": "AINRLQLVATLVEREV(MSE)RYTPAGVPIVNCLLSYSGQA(MSE)EAQAARQVEFSIEALGAGK(MSE)ASVLDRIAPGTVLECVGFLARKHRSSKALVFHISGLEHHHHHH",
"chain_id": "A",
"msa_path": "docs/rf3/examples/msas/3en2_A.a3m.gz"
"msa_path": "models/rf3/docs/examples/msas/3en2_A.a3m.gz"
},
{
"seq": "AINRLQLVATLVEREV(MSE)RYTPAGVPIVNCLLSYSGQA(MSE)EAQAARQVEFSIEALGAGK(MSE)ASVLDRIAPGTVLECVGFLARKHRSSKALVFHISGLEHHHHHH",
"chain_id": "B",
"msa_path": "docs/rf3/examples/msas/3en2_A.a3m.gz"
"msa_path": "models/rf3/docs/examples/msas/3en2_A.a3m.gz"
}
]
}
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"components": [
{
"seq": "MKSLSFSLALGFGSTLVYSAPSPSSGWQAPGPNDVRAPCPMLNTLANHGFLPHDGKGITVNKTIDALGSALNIDANLSTLLFGFAATTNPQPNATFFDLDHLSRHNILEHDASLSRQDSYFGPADVFNEAVFNQTKSFWTGDIIDVQMAANARIVRLLTSNLTNPEYSLSDLGSAFSIGESAAYIGILGDKKSATVPKSWVEYLFENERLPYELGFKRPNDPFTTDDLGDLSTQIINAQHFPQSPGKVEKRGDTRCPYGYH",
"msa_path": "docs/rf3/examples/msas/7o1r_A.a3m.gz",
"msa_path": "models/rf3/docs/examples/msas/7o1r_A.a3m.gz",
"chain_id": "A"
},
{
"ccd_code": "MG"
},
{
"path": "docs/rf3/examples/ligands/NAG.cif"
"path": "models/rf3/docs/examples/ligands/NAG.cif"
},
{
"path": "docs/rf3/examples/ligands/HEM.sdf"
"path": "models/rf3/docs/examples/ligands/HEM.sdf"
},
{
"smiles": "[nH]1cc[nH+]c1"
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"name": "7xli_template_antigen",
"components": [
{
"path": "docs/rf3/examples/templates/7xli_chain_A.cif"
"path": "models/rf3/docs/examples/templates/7xli_chain_A.cif"
},
{
"path": "docs/rf3/examples/templates/7xli_chain_B.cif"
"path": "models/rf3/docs/examples/templates/7xli_chain_B.cif"
}
],
"template_selection": ["A", "B/*/1-42", "B/*/49-63", "B/*/71-102", "B/*/108-125"]
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"name": "9dfn_template_ligand_and_protein",
"components": [
{
"path": "docs/rf3/examples/9dfn.cif"
"path": "models/rf3/docs/examples/9dfn.cif"
}
],
"template_selection": ["A", "C", "D"],
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8 changes: 7 additions & 1 deletion models/rf3/docs/index.md
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RF3 is an all-atom biomolecular structure prediction network
competitive with leading open-source models. By including additional features at train-time – implicit chirality representations and atom-level geometric conditioning – we improve performance on tasks such as prediction of chiral ligands and fixed-backbone or fixed-conformer docking.

For more information, please see our preprint, [Accelerating Biomolecular Modeling with AtomWorks and RF3](https://doi.org/10.1101/2025.08.14.670328).
**Preprint**: [Accelerating Biomolecular Modeling with AtomWorks and RF3](https://doi.org/10.1101/2025.08.14.670328)

---

For more information on how to run RF3, see the [README](https://github.com/RosettaCommons/foundry/blob/production/models/rf3/README.md).

You can install RF3, and the other models included in [Foundry](https://github.com/RosettaCommons/foundry) by following the instructions in [Foundry's README](https://github.com/RosettaCommons/foundry/blob/production/README.md).
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