ArticleACS synthetic biology2021
Growth-Based, High-Throughput Selection for NADH Preference in an Oxygen-Dependent Biocatalyst.
Article in ACS synthetic biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 17 citations in OpenAlex.
- Combing Directed Enzyme Evolution with Metabolic Engineering to Develop Efficient Microbial Cell Factories.Chem & bio engineering · 2025Review
- Engineering new-to-nature biochemical conversions by combining fermentative metabolism with respiratory modules.Nature communications · 2024Article
- Automated in vivo enzyme engineering accelerates biocatalyst optimization.Nature communications · 2024Review
- Logistic Regression-Guided Identification of Cofactor Specificity-Contributing Residues in Enzyme with Sequence Datasets Partitioned by Catalytic Properties.ACS synthetic biology · 2022Article
- Orthogonal glycolytic pathway enables directed evolution of noncanonical cofactor oxidase.Nature communications · 2022Article
- Directed evolution of phosphite dehydrogenase to cycle noncanonical redox cofactors via universal growth selection platform.Nature communications · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Cyclohexanone monooxygenases (CHMO) consume molecular oxygen and NADPH to catalyze the valuable oxidation of cyclic ketones. However, CHMO usage is restricted by poor stability and stringent specificity for NADPH. Efforts to engineer CHMO have been limited by the sensitivity of the enzyme to perturbations in conformational dynamics and long-range interactions that cannot be predicted. We demonstrate an aerobic, high-throughput growth selection platform in
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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.