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

Y N Lee; Jun Ren; Jingyu Lee; Minh Thi-Hong Tran; Yubin Kim; Youngseo Chang; So Hee Oh; Hyang‐Mi Lee; Dokyun Na

doi:10.4014/jmb.2601.01071

April 27, 2026Journal of Microbiology and Biotechnology

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

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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.

Implication

Prediction of protein half-life using deep learning in metabolic pathways, indicating potential to alleviate bottlenecks.

Abstract

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

Discussion

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Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/69f2a42a8c0f03fd677632f5 https://doi.org/10.4014/jmb.2601.01071

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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