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April 30, 2026Journal of Microbiology and Biotechnology0 citations

Deep Learning-Based Protein Half-Life Prediction for Identifying Rate-Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck Reactions

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YLY N LeeJRJun RenJLJingyu Lee

Key Points

  • To develop a method for predicting protein half-life to identify key enzymes in metabolic pathways.
  • Utilized deep learning algorithms for protein half-life prediction.
  • Focused on identifying rate-limiting enzymes in metabolic pathways.
  • Assessed the implications for metabolic bottlenecks.
  • Demonstrated the effectiveness of deep learning in predicting enzyme half-life.
  • Identified key enzymes that can help alleviate metabolic bottlenecks.

Abstract

prediction of enzyme half-life. This approach provides a viable strategy for alleviating metabolic bottlenecks, ultimately enhancing metabolic productivity.

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Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/69f2a42a8c0f03fd677632f5https://doi.org/10.4014/jmb.2601.01071
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