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Identifying promising sequences for protein engineering u... | ResearchHub
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Identifying promising sequences for protein engineering using a deep Transformer Protein Language Model
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Authors
Trevor Frisby
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Christopher Langmead
Published
February 16, 2023
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Topics
Biology
Machine Learning
Computer Science
Engineering
Artificial Intelligence
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DOI
10.1101/2023.02.15.528697
License
CC-BY
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Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Machine Learning
Computer Science
Engineering
Artificial Intelligence
Show all topics
DOI
10.1101/2023.02.15.528697
License
CC-BY
Other Formats
PDF
