Model Card for Pinal: Toward De Novo Protein Design from Natural Language
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.
For more information, please refer to our preprint.
Usage
Please refer to the README.md in the Github repository for details on how to use the model.
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