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## Model Card for Pinal: Toward De Novo Protein Design from Natural Language
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<a href="https://www.biorxiv.org/content/10.1101/2024.08.01.606258"><img src="https://img.shields.io/badge/Paper-bioRxiv-green" style="max-width: 100%;"></a> <a href="http://www.denovo-pinal.com/"><img src="https://img.shields.io/badge/Pinal-red?label=Server" style="max-width: 100%;"></a> <a href="https://
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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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## Model Card for Pinal: Toward De Novo Protein Design from Natural Language
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<a href="https://www.biorxiv.org/content/10.1101/2024.08.01.606258"><img src="https://img.shields.io/badge/Paper-bioRxiv-green" style="max-width: 100%;"></a> <a href="http://www.denovo-pinal.com/"><img src="https://img.shields.io/badge/Pinal-red?label=Server" style="max-width: 100%;"></a> <a href="https://github.com/westlake-repl/Denovo-Pinal"><img src="https://img.shields.io/badge/Github-Code-blue?logo=github" style="max-width: 100%;"></a>
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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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