ArticleAngewandte Chemie (International ed. in English)2026
Enhancing Enzyme Activity With Mutation Combinations Guided by Few-Shot Learning and Causal Inference.
Article in Angewandte Chemie (International ed. in English), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Enhancing prediction accuracy for enzyme activity engineering through sequence co-evolution and epistatic relationship modeling.Nucleic acids research · 2026Article
- Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Biophysics-based protein language models for protein engineering.Nature methods · 2025Article
- Biophysics-based protein language models for protein engineering.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
16 authors.
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Abstract
Designing enzyme sequences to enhance product yield represents a fundamental challenge in metabolic engineering. Here, we established a workflow that integrates computational predictions with efficient experimental iteration to obtain outsized gains in product yield. Based on causal inference and examination of published datasets, we realized and ultimately experimentally confirmed that in vivo unit yield (yield/expression) can serve as an attractive surrogate for aqueous k
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Registered trials
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