ArticleAngewandte Chemie (International ed. in English)2025
Computational Stabilization of a Non-Heme Iron Enzyme Enables Efficient Evolution of New Function.
Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Article
- The Expanding Reactivity of Cobamide-Containing Proteins: From Mechanistic Understanding to Non-native Biocatalysis.ACS catalysis · 2026Article
- SplitSeek-Pro: accurate prediction of splittable sites on protein structures.Nature communications · 2026Article
- Sequence redesign of glycosyltransferases for enhanced heterologous expression and glycosylation efficiency in Escherichia coli.Nature communications · 2026Article
- Ancestral Sequence Reconstruction to Accelerate Non-heme Iron-dependent Biocatalyst Engineering.ACS central science · 2025Article
- Article
- GArNet: A Genetic Algorithm-Based Protein Redesign Approach to Optimize Mutation Combinations Informed by Network Theory.Journal of chemical information and modeling · 2025Article
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5 authors.
Funding
Abstract
Deep learning tools for enzyme design are rapidly emerging, and there is a critical need to evaluate their effectiveness in engineering workflows. Here we show that the deep learning-based tool ProteinMPNN can be used to redesign Fe(II)/αKG superfamily enzymes for greater stability, solubility, and expression while retaining both native activity and industrially relevant non-native functions. This superfamily has diverse catalytic functions and could provide a rich new source of biocatalysts for synthesis and industrial processes. Through systematic comparisons of directed evolution trajectories for a non-native, remote C(sp
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Registered trials
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