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Status: Unchecked ×Keyword: protein activity ×Clear all

2 claims from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   A general temperature-guided language model to design proteins of enhanced stability and activity

   Jiang, Li, Dong et al. · Science Advances · 2024

   The authors present PRIME, a temperature-aware deep learning model that suggests protein mutations to improve stability and activity without prior mutagenesis data, and test it computationally and experimentally.

   Unchecked2 claims
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   1. Unchecked“Leveraging temperature-aware language modeling, PRIME demonstrated superior predictive ability compared to current state-of-the-art models on the public mutagenesis dataset across 283 protein assays.”
   2. UncheckedIn experimental tests on five proteins, over 30% of mutants recommended by the PRIME model outperformed the original protein on the targeted property.“More than 30% of PRIME-recommended mutants exhibited superior performance compared to their premutation counterparts across all proteins and desired properties.”