MODEL PROFILE

ProstT5

Rostlab · ProstT5

ProstT5 is a protein language model (pLM) which can translate between protein sequence and structure. ProstT5 (Protein structure-sequence T5) is based on ProtT5-XL-U50, a T5 model trained on encoding protein sequences using span corruption applied on billions of protein sequences. ProstT5 finetunes ProtT5-XL-U50 on translating between protein sequence and structure using 17M proteins with high-quality 3D structure predictions from the AlphaFoldDB. Protein structure is converted from 3D to 1D using the 3Di-tokens introduced by Foldseek. In a first step, ProstT5 learnt to represent the newly introduced 3Di-tokens by continuing the original span-denoising objective applied on 3Di- and amino acid- (AA) sequences. Only in a second step, ProstT5 was trained on translating between the two modalities. The direction of the translation is indicated by two special tokens ("\ " for translating from 3Di to AAs, “\ ” for translating from AAs to 3Di). To avoid clashes with AA tokens, 3Di-tokens were cast to lower-case (alphabets are identical otherwise). - **Developed by:** Michael Heinzinger (GitHub @mheinzinger; Twitter @HeinzingerM) - **Model type:** Encoder-decoder (T5) - **Language(s) (NLP):** Protein sequence and structure - **License:** MIT - **Finetuned from model:** ProtT5-XL-U50

Translationlicense:mit
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 15:23:30
OVERVIEW

Model overview

ProstT5 is a protein language model (pLM) which can translate between protein sequence and structure. ProstT5 (Protein structure-sequence T5) is based on ProtT5-XL-U50, a T5 model trained on encoding protein sequences using span corruption applied on billions of protein sequences. ProstT5 finetunes ProtT5-XL-U50 on translating between protein sequence and structure using 17M proteins with high-quality 3D structure predictions from the AlphaFoldDB. Protein structure is converted from 3D to 1D using the 3Di-tokens introduced by Foldseek. In a first step, ProstT5 learnt to represent the newly introduced 3Di-tokens by continuing the original span-denoising objective applied on 3Di- and amino acid- (AA) sequences. Only in a second step, ProstT5 was trained on translating between the two modalities. The direction of the translation is indicated by two special tokens ("\ " for translating from 3Di to AAs, “\ ” for translating from AAs to 3Di). To avoid clashes with AA tokens, 3Di-tokens were cast to lower-case (alphabets are identical otherwise). - **Developed by:** Michael Heinzinger (GitHub @mheinzinger; Twitter @HeinzingerM) - **Model type:** Encoder-decoder (T5) - **Language(s) (NLP):** Protein sequence and structure - **License:** MIT - **Finetuned from model:** ProtT5-XL-U50

Key features

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Sources & traceability

许可证:mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。