ArticleFaraday discussions2024
Friends and relatives: insight into conformational regulation from orthologues and evolutionary lineages using KIF and KIN.
Article in Faraday discussions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Enzyme Enhancement Through Computational Stability Design Targeting NMR-Determined Catalytic Hotspots.Journal of the American Chemical Society · 2025Article
- Using residue interaction networks to understand protein function and evolution and to engineer new proteins.Current opinion in structural biology · 2024Review
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Authors and funding
4 authors.
Funding
Abstract
Noncovalent interaction networks provide a powerful means to represent and analyze protein structure. Such networks can represent both static structures and dynamic conformational ensembles. We have recently developed two tools for analyzing such interaction networks and generating hypotheses for protein engineering. Here, we apply these tools to the conformational regulation of substrate specificity in class A β-lactamases, particularly the evolutionary development from generalist to specialist catalytic function and how that can be recapitulated or reversed by protein engineering. These tools, KIF and KIN, generate a set of prioritized residues and interactions as targets for experimental protein engineering.
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Registered trials
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