Characterizing CmodAA-Containing Biosynthetic Pathways of Nonribosomal Peptides

表征非核糖体肽的含 CmodAA 生物合成途径

基本信息

  • 批准号:
    2310177
  • 负责人:
  • 金额:
    $ 57.77万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-07-01 至 2027-06-30
  • 项目状态:
    未结题

项目摘要

With the support of the Chemistry in Life Processes program in the Division of Chemistry, Bo Li of the University of North Carolina at Chapel Hill is studying the formation of dehydroamino acids in the biosynthesis of nonribosomal peptides. Nonribosomal peptides are a major class of biologically and industrially important natural products and they are synthesized by microorganisms using enzyme assembly lines known as nonribosomal peptide synthetases (NRPSs). Dehydroamino acids are critical for the biological activities of the natural products that contain them; however, how NRPSs incorporate these amino acids had not been experimentally studied until recently. The PI will study how NRPSs integrate dehydroamino acids into diverse natural products using biochemical, structural, and bioinformatic approaches. The work is expected to advance understanding of the molecular details of the biosynthesis of natural products, particularly the novel biofilm-forming natural products under study here. The proposed study will allow graduate students to acquire specialize training in biological and natural product chemistry and provide summer research opportunities to undergraduates. This research project seeks to understand the biosynthesis of α,β-dehydroamino acids in natural products, which is catalyzed by a unique subgroup of NRPS condensation domains (CmodAA). The research will focus on bicyclic alkaloids, including pyrrolizidines and cyclocarbamates that exhibit diverse bioactivities. In the biosynthesis of these natural products, the function of CmodAA domains and flavin-dependent monooxygenases will be characterized. An uncharacterized CmodAA-containing biosynthetic gene cluster will be investigated to identify potentially novel natural products. This project will use a combination of approaches in biochemistry, structural biology, synthetic chemistry, and bioinformatics. As an important scientific broader impact, this research is expected to enable the incorporation of dehydroamino acids into nonribosomal peptides for engineered biosynthesis and synthetic biology, in general.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在化学过程中的化学过程中的支持下,北卡罗来纳大学教堂山分校的Bo li正在研究非透射式胡椒体的生物合成中的脱氢氨基酸的形成。非核糖体辣椒是一类重要的生物学和工业重要天然产物,它们是由使用酶组装系(称为非核糖体辣椒合成酶(NRPS))合成的。脱氢氨基酸对于含有它们的天然产物的生物学活性至关重要。但是,直到最近才对NRPS结合这些氨基酸。 PI将研究NRPS如何使用生化,结构和生物信息学方法将脱氢氨基酸整合到潜水的天然产物中。预计这项工作将提高对天然产物生物合成的分子细节的理解,尤其是在此处研究的新型生物膜形成的天然产物。拟议的研究将允许研究生获得专门的生物和天然产品化学培训,并为本科生提供夏季研究机会。该研究项目旨在了解天然产物中α,β-脱水瘤的生物合成,这是由独特的NRPS冷凝域(CMODAA)催化的。该研究将重点放在生物学生物碱上,包括存在于潜水生物活性的吡咯烷和环氨基烷。在这些天然产物的生物合成中,将表征Cmodaa结构域和黄素依赖性单加氧酶的功能。将研究一个未表征的含Cmodaa的生物合成基因簇,以鉴定潜在的新型天然产物。该项目将使用生物化学,结构生物学,合成化学和生物信息学方面的方法组合。作为重要的科学广播影响,这项研究有望使脱氢氨基酸纳入非侧质辣椒中,以进行工程生物合成和合成生物学,一般而言。这项奖项反映了NSF的法定任务,并通过使用基金会的知识优点和广泛影响来评估NSF的法定任务。

项目成果

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Bo Li其他文献

Design of a 324 MHz Double-Spoke Cavity at CSNS
CSNS 324 MHz 双辐腔的设计
  • DOI:
    10.1109/tasc.2022.3214887
  • 发表时间:
    2022-12
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Yun Wang;Huachang Liu;Tao Yang;Ahong Li;Peihua Qu;Bo Li;Mengxu Fan;Xiaolei Wu;Qiang Chen;Cong Zhang;Wenzhong Zhou;Jianpin Dai;Sheng Wang
  • 通讯作者:
    Sheng Wang
Hardware Design and Test of a Gear-Shifting Control System of a Multi-gear Transmission for Electric Vehicles
电动汽车多档变速器换档控制系统的硬件设计与测试
  • DOI:
    10.1007/s42154-019-00072-2
  • 发表时间:
    2019-09
  • 期刊:
  • 影响因子:
    6.1
  • 作者:
    Feng Tian;Liqi Sui;Yuanfan Zeng;Bo Li;Xingyue Zhou;Lijun Wang;Hongxu Chen
  • 通讯作者:
    Hongxu Chen
Dependence of Temperature and Back-Gate Bias on Single-Event Upset Induced by Heavy Ion in 0.2-mu m DSOI CMOS Technology
0.2-μm DSOI CMOS 技术中重离子引起的单粒子扰动与温度和背栅偏置的相关性
  • DOI:
    10.1109/tns.2021.3094669
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Yuchong Wang;Fanyu Liu;Bo Li;Binhong Li;Yang Huang;Can Yang;Junjun Zhang;Guoqing Wang;Jiajun Luo;Zhengsheng Han;Konstantin O. Petrosyants
  • 通讯作者:
    Konstantin O. Petrosyants
Nonlinear dynamics of a conical dielectric elastomer oscillator with switchable mono to bi-stability
具有可切换单稳态和双稳态的锥形介电弹性体振荡器的非线性动力学
Compressive Behavior of Predamaged Concrete Cylinders Repaired with Jute and Basalt FRP Composites: A Comparative Study
黄麻和玄武岩 FRP 复合材料修复预损伤混凝土筒的压缩性能:比较研究
  • DOI:
    10.1061/(asce)cc.1943-5614.0001207
  • 发表时间:
    2022-06
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Gao Ma;Chunxu Hou;Jiulin Bai;Bo Li;Xiaohuang Chen
  • 通讯作者:
    Xiaohuang Chen

Bo Li的其他文献

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{{ truncateString('Bo Li', 18)}}的其他基金

ERI: Robust and Scalable Manufacturing of Ultra-Sensitive and Selective Molecule Sensor Arrays
ERI:稳健且可扩展的超灵敏和选择性分子传感器阵列制造
  • 批准号:
    2301668
  • 财政年份:
    2024
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Standard Grant
Collaborative Research: NRI: Smart Skins for Robotic Prosthetic Hand
合作研究:NRI:机器人假手智能皮肤
  • 批准号:
    2221102
  • 财政年份:
    2022
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Standard Grant
CAREER: DeepTrust: Enabling Robust Machine Learning with Exogenous Information
职业:DeepTrust:利用外源信息实现稳健的机器学习
  • 批准号:
    2046726
  • 财政年份:
    2021
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Continuing Grant
ATD: Statistical and Machine Learning Methods for Studying the Dynamics of Weather and Climate Extremes
ATD:研究天气和极端气候动态的统计和机器学习方法
  • 批准号:
    2124576
  • 财政年份:
    2021
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Standard Grant
Collaborative Research: Spatiotemporal Dynamics of Interacting Bacterial Communities in Compact Colonies
合作研究:紧密菌落中相互作用的细菌群落的时空动态
  • 批准号:
    2029574
  • 财政年份:
    2020
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Standard Grant
Sorting and Assembly of Nanomaterials on Polymer Substrates Using Fluidic and Weak Ultrasound Fields for Fabrication of Flexible Electronic Devices
使用流体和弱超声场在聚合物基底上分类和组装纳米材料以制造柔性电子器件
  • 批准号:
    2003077
  • 财政年份:
    2020
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Standard Grant
AF: Small: Collaborative Research: Rigorous Approaches for Scalable Privacy-preserving Deep Learning
AF:小型:协作研究:可扩展的隐私保护深度学习的严格方法
  • 批准号:
    1910100
  • 财政年份:
    2019
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Standard Grant
Travel Support for Student Participation at the 2018 ASME-IMECE Micro and Nano Technology Forum; Pittsburgh, PA, November 12-15, 2018
为学生参加2018年ASME-IMECE微纳米技术论坛提供差旅支持;
  • 批准号:
    1854005
  • 财政年份:
    2018
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Standard Grant
ATD: Collaborative Research: Predicting the Threat of Vector-Borne Illnesses Using Spatiotemporal Weather Patterns
ATD:合作研究:利用时空天气模式预测媒介传播疾病的威胁
  • 批准号:
    1830312
  • 财政年份:
    2018
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Continuing Grant
An integrated experimental and computational study of erythrocyte adhesion mechanics in blood flows
血流中红细胞粘附力学的综合实验和计算研究
  • 批准号:
    1706295
  • 财政年份:
    2017
  • 资助金额:
    $ 57.77万
  • 项目类别:
    Standard Grant
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