ProstT5

モデル紹介

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). 1. The model can be used for traditional feature extraction. For this, we recommend using only the encoder in half-precision (fp16) together with batching. Examples (currently only for original ProtT5-XL-U50 but replacing repository links and adding prefixes works): script and colab While original ProtT5-XL-U50 could only embed AA sequences, ProstT5 can now also embed 3D structures represented by 3Di tokens. 3Di tokens can either be derived from 3D structures using Foldseek or they can be predicted from AA sequences by ProstT5. 3. "Folding": Translation from sequence (AAs) to structure (3Di). The resulting 3Di strings can be used together with Foldseek for remote homology detection while avoiding to compute 3D structures explicitly. 4. "Inverse Folding": Translation from structure (3Di) to sequence (AA).

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

よくある質問

出典と追跡記録

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。