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CAZyme evolution and discovery: Ultrahigh throughput screening of carbohydrate-active enzymes in modular assays modular based on coupled reactions

CAZyme evolution and discovery: Ultrahigh throughput screening of carbohydrate-active enzymes in modular assays modular based on coupled reactions
CAZyme 的演变和发现:基于耦合反应的模块化测定中碳水化合物活性酶的超高通量筛选
批准号:
BB/W006391/1
负责人:
Florian Hollfelder
金额:
$59.11万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
Enzymes are at the core of the white biotechnologies that will create greener, more efficient processes. The environmental challenge of switching our carbon source from fossil to renewable will require many more enzymes than are currently available, so enzyme discovery and evolution are necessary. Finding new catalysts in 'libraries' (person-made in directed evolution or environmental in functional metagenomics) is a numbers game: hits are rare, so technologies that can screen large numbers of library members will be more successful. The selection criterion in such combinatorial campaigns also matters: the more similar the assay reaction is to the actual application, the more likely is the screening campaign to yield useful enzymes. We have developed a system in which more than 10 million variants can be tested in a day for breakdown of natural substrates (and not for model substrates), by using coupled reaction systems, so we hope to find the right "needle in a haystack", more quickly. In a first application of coupled assays to carbohydrate-active enzymes, we will evolve enzymes used for the degradation of the main components of wood (carbohydrates, mainly in the form of cellulose) and also try to discover new enzymes in metagenomic samples collected in hot springs, the Antarctic and several domestic settings (local compost heaps, ponds, soils). The results of directed evolution will be interpreted with a sequencing technology that we have recently developed ('UMIC-Seq': Nat Commun 2020, 11 (1), 6023), that allows us to obtain full-length readouts of > 10,000 sequence per round of evolution (at a price of less than 1 penny per sequence). Equipped with this insight we hope to understand better how cooperative interactions in the enzymes enable evolution to proceed (or make it difficult in other cases), based on the reconstruction of sequence landscapes, in which areas of high activity are to be explored.
期刊论文(6)
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会议论文
The biosynthesis, degradation, and function of cell wall ß-xylosylated xyloglucan mirrors that of arabinoxyloglucan
细胞壁α-木糖基化木葡聚糖的生物合成、降解和功能与阿拉伯木葡聚糖相似
DOI: 10.1111/nph.19305
发表时间: 2023
期刊: New Phytologist
影响因子: 9.4
作者: [Wilson L]
通讯作者: Wilson L
DOI: 10.1021/acscatal.3c01609
发表时间: 2023-08-04
期刊: ACS CATALYSIS
影响因子: 12.9
作者: [Ladeveze, Simon, Zurek, Paul J., Kaminski, Tomasz S., Emond, Stephane, Hollfelder, Florian]
通讯作者: Hollfelder, Florian
Novel Plastizymes: discovery and improvement of plastic-degrading enzymes by integrated cycles of computational and experimental approaches
  • 批准号:
    BB/X00306X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $385.37万
  • 财政年份:
    2023
  • 负责人:
    Florian Hollfelder
  • 依托单位:
Ultrahigh throughput total transcriptomics
  • 批准号:
    EP/Y032756/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $16.19万
  • 财政年份:
    2023
  • 负责人:
    Florian Hollfelder
  • 依托单位:
Mapping the overlapping fitness landscapes of a superfamily of promiscuous enzymes: strategies for directed evolution?
  • 批准号:
    BB/W000504/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $76.96万
  • 财政年份:
    2022
  • 负责人:
    Florian Hollfelder
  • 依托单位:
Biocatalysis by plastic-degrading enzymes for bioremediation and recycling
  • 批准号:
    EP/X03464X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $16.47万
  • 财政年份:
    2022
  • 负责人:
    Florian Hollfelder
  • 依托单位:
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位:
镍基UNS N10003合金辐照位错环演化机制及其对力学性能的影响研究
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
发展/减排路径(SSPs/RCPs)下中国未来人口迁移与集聚时空演变及其影响
  • 批准号:
    19ZR1415200
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2019
  • 负责人:
    夏海斌
  • 依托单位: