ArticleBiochemistry2018
Statistical Coupling Analysis-Guided Library Design for the Discovery of Mutant Luciferases.
Article in Biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Fluorescent Protein Chromophore-Based Luciferins for Bioluminescence Imaging.Chemical & biomedical imaging · 2025Article
- Discovery of Red-Shifting Mutations in Firefly Luciferase Using High-Throughput Biochemistry.Biochemistry · 2024Article
- Systematic Comparison of Beetle Luciferase-Luciferin Pairs as Sources of Near-Infrared Light for In Vitro and In Vivo Applications.International journal of molecular sciences · 2022Article
- Rapid Multicomponent Bioluminescence ImagingACS chemical biology · 2021Article
- Orthogonal Bioluminescent Probes from Disubstituted Luciferins.Biochemistry · 2021Article
- Multicomponent Bioluminescence Imaging with a π-Extended Luciferin.Journal of the American Chemical Society · 2020Article
- Harnessing Conformational Plasticity to Generate Designer Enzymes.Journal of the American Chemical Society · 2020Review
- Caged luciferins for bioluminescent activity-based sensing.Current opinion in biotechnology · 2019Review
- Building Biological Flashlights: Orthogonal Luciferases and Luciferins forAccounts of chemical research · 2019Review
- Advances in bioluminescence imaging: new probes from old recipes.Current opinion in chemical biology · 2018Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Directed evolution has proven to be an invaluable tool for protein engineering; however, there is still a need for developing new approaches to continue to improve the efficiency and efficacy of these methods. Here, we demonstrate a new method for library design that applies a previously developed bioinformatic method, Statistical Coupling Analysis (SCA). SCA uses homologous enzymes to identify amino acid positions that are mutable and functionally important and engage in synergistic interactions between amino acids. We use SCA to guide a library of the protein luciferase and demonstrate that, in a single round of selection, we can identify luciferase mutants with several valuable properties. Specifically, we identify luciferase mutants that possess both red-shifted emission spectra and improved stability relative to those of the wild-type enzyme. We also identify luciferase mutants that possess a >50-fold change in specificity for modified luciferins. To understand the mutational origin of these improved mutants, we demonstrate the role of mutations at N229, S239, and G246 in altered function. These studies show that SCA can be used to guide library design and rapidly identify synergistic amino acid mutations from a small library.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.