ArticleAMB Express2024
A growth selection system for sucrose synthases (SuSy): design and test.
Article in AMB Express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Engineering the Stability of Sucrose Synthase to Enable Efficient Coupled Production of UDP-Glucuronic Acid.Biotechnology journal · 2026Article
- The Plant Sucrose Synthase Gene Family: Multi-Level Regulatory Networks and Functional Diversification in Plants.Biomolecules · 2026Review
- Sustainable Natural Product Glycosylation: A Critical Evaluation of Biocatalytic and Chemical Approaches.ChemSusChem · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
High throughput screening (HTS) methods of enzyme variants are essential for the development of robust biocatalysts suited for low impact, industrial scale, biobased synthesis of a myriad of compounds. However, for the majority of enzyme classes, current screening methods have limited throughput, or need expensive substrates in combination with sophisticated setups. Here, we present a straightforward, high throughput selection system that couples sucrose synthase activity to growth. Enabling high throughput screening of this enzyme class holds the potential to facilitate the creation of robust variants, which in turn can significantly impact the future of cost effective industrial glycosylation.
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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.