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- license: mit
 
 
 
 
 
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- **Github repo: https://github.com/westlake-repl/Denovo-Pinal**
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- ## Overview
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- Pinal is a model that designs de novo proteins from natural languages. For more information, please refer to our [preprint](https://www.biorxiv.org/content/10.1101/2024.08.01.606258).
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- > Caution: To obtain the weight of T2struc-15B, please concatenate the pytorch_model_part_* files using `cat pytorch_model_part_* > pytorch_model.bin` after downloading all files.
 
 
 
 
 
 
 
 
 
 
 
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+ language:
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+ - en
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+ tags:
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+ - biology
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+ - esm
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+ - protein
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+ ## Model Card for Pinal
 
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+ Pinal is an advanced protein design framework that translates human design intent into novel protein sequences. It utilizes a two-stage process: first generating protein structures from language instructions, then designing sequences based on those structures. With a substantial parameter count of 16 billion and trained on a diverse dataset comprising 1.7 billion protein-text pairs, Pinal demonstrates marked improvements in both performance and generalization capabilities for novel protein structures.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/665feb99ea2cc04a641db7f6/hZaZu7-GbAN-LShTNDV3c.png)
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+ For more information, please refer to our [preprint](https://www.biorxiv.org/content/10.1101/2024.08.01.606258).
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+ ## Usage
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+ Please refer to the README.md in the [Github repository](https://github.com/westlake-repl/Denovo-Pinal) for details on how to use the model.