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Status: Unchecked Keyword: amino acid propensities Clear all
2 claims from 1 paper
Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics
ProtGPT2 is a deep unsupervised language model for protein design
Ferruz, Schmidt and Höcker · Nature Communications · 2022
The authors describe ProtGPT2, a language model trained on protein sequences that generates new protein sequences resembling natural ones, yet distantly related to them and covering unexplored regions of protein space.
Unchecked2 claimsShow 2 claims
- UncheckedProteins generated by the ProtGPT2 language model show natural amino acid propensities, and disorder predictions suggest 88% are globular, like natural sequences.“The generated proteins display natural amino acid propensities, while disorder predictions indicate that 88% of ProtGPT2-generated proteins are globular, in line with natural sequences.”
- UncheckedDatabase searches suggest ProtGPT2's generated protein sequences are only distantly related to natural ones and sample unexplored regions of protein space.“Sensitive sequence searches in protein databases show that ProtGPT2 sequences are distantly related to natural ones, and similarity networks further demonstrate that ProtGPT2 is sampling unexplored regions of protein space.”
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