Article

Protein Design with StructureGPT: a Deep Learning Model for Protein Structure-to-Sequence Translation

2024-06-07

Abstract excerpt

Motivation: Protein design, crucial for understanding and engineering protein functionalities, has traditionally been challenged by the reverse translation of complex protein tertiary structures into sequences. Existing computational tools have focused predominantly on sequence-to-structure predictions, with less attention given to structure-to-sequence processes. Our research introduces StructureGPT, a novel deep...

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Literature Corpus work: d0bd979c-168a-5c56-aafa-7d946c67a4f2
DOI: 10.1101/2024.06.03.597105

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