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InstructPLM/MPNN-ProGen2-xlarge-CATH42
MPNN-ProGen2-xlarge-CATH42 is a text generation model from InstructPLM. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
InstructPLM is a state-of-the-art protein design model based on ProGen200272-7) and ProteinMPNN and trained on CATH 4.2 dataset. It can design protein sequences that accurately conform to specified backbone structures.
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From the Hugging Face model README
InstructPLM is a state-of-the-art protein design model based on ProGen2 and ProteinMPNN and trained on CATH 4.2 dataset. It can design protein sequences that accurately conform to specified backbone structures.
<p align="center"> <img src="https://cdn-uploads.huggingface.co/production/uploads/62a8397d839eeb3ef16a7566/1NRk65EImgBAFgvh8HJrA.png" alt="drawing" width="200"/> </p>Please visit our repo and paper for more information.
@article {Qiu2024.04.17.589642,
author = {Jiezhong Qiu and Junde Xu and Jie Hu and Hanqun Cao and Liya Hou and Zijun Gao and Xinyi Zhou and Anni Li and Xiujuan Li and Bin Cui and Fei Yang and Shuang Peng and Ning Sun and Fangyu Wang and Aimin Pan and Jie Tang and Jieping Ye and Junyang Lin and Jin Tang and Xingxu Huang and Pheng Ann Heng and Guangyong Chen},
title = {InstructPLM: Aligning Protein Language Models to Follow Protein Structure Instructions},
elocation-id = {2024.04.17.589642},
year = {2024},
doi = {10.1101/2024.04.17.589642},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2024/04/20/2024.04.17.589642},
eprint = {https://www.biorxiv.org/content/early/2024/04/20/2024.04.17.589642.full.pdf},
journal = {bioRxiv}
}