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Functional Protein Sequence Design using Large Language Models
The advent of architectural developments in machine learning has enabled promising directions
September 12, 2023
The advent of architectural developments in machine learning has enabled promising directions
Inverse folding aims at decoding protein sequences given structural information as
Gen-AI protein with varying loop length, sequence, and structure. In the context of an antibody
310.ai created protein sequence with a zinc binding site that spans two chains and stabilizes
At 310.AI we’re building a foundational protein machine learning model that aims to understand everything
