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Collaborative Research: Engineering Hyperstable Enzymes via Computationally Guided Protein Stapling

Collaborative Research: Engineering Hyperstable Enzymes via Computationally Guided Protein Stapling
合作研究:通过计算引导的蛋白质装订工程设计超稳定酶
批准号:
1929237
负责人:
Sagar Khare
金额:
$28.51万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-15 至 2023-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
Enzymes are proteins that facilitate reactions. At modest temperatures or in response to pH changes, enzymes will lose their three-dimensional structure which leads to a loss in their activity as catalysts. If enzymes were more stable, then they could be used more widely in industrial applications. This research project will investigate a new method for designing proteins in which chemical links will be made between certain parts of the enzyme, also called "molecular stapling." This method might increase the stability of proteins at elevated temperatures or in the presence of chemicals. The activity of the new enzyme with "staples" should be unchanged from the original enzyme. The results of this project could lead to enzymes that could be designed to manufacture pharmaceuticals or to produce chemicals in a more sustainable manner. The research project serves as a training ground for undergraduate and graduate students to perform cutting edge research, leading to a skilled STEM workforce. The researchers will host local high school students for a research experience on enzymes and proteins. They will also participate in outreach to area community colleges.The idea behind this research project is that enzymes can be stabilized by genetically encoded, redox-stable covalent crosslinks. A novel computational design method for protein stabilization via covalent stapling will be developed via iterative design-build-test cycles, using a carbene transferase as testbed. The scope of this methodology will be extended to different stapling strategies for maximizing both thermodynamic and kinetic stability of the target enzyme, leading to hyperstabilization. Computational methodology development will be guided by detailed investigations of the stapled enzyme variants via functional assays and complementary biophysical techniques. The generality of this approach will be demonstrated through its application for the rapid and efficient thermostabilization of different enzymes of biotechnological importance. It is envisioned that this method will be broadly applicable to enzymes and proteins, providing an effective, and potentially general strategy for protein hyperstabilization.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.
期刊论文(6)
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科研奖励(0)
会议论文
DOI: 10.1021/acschembio.2c00373
发表时间: 2022-07-15
期刊: ACS CHEMICAL BIOLOGY
影响因子: 4
作者: [Aggarwal, Tushar, Hansen, William A., Hong, Jonathan, Ganguly, Abir, York, Darrin M., Khare, Sagar D., Izgu, Enver Cagri]
通讯作者: Izgu, Enver Cagri
DOI: 10.1038/s41467-021-27222-7
发表时间: 2021-11-29
期刊: Nature communications
影响因子: 16.6
作者: [Koehler Leman J, Lyskov S, Lewis SM, Adolf-Bryfogle J, Alford RF, Barlow K, Ben-Aharon Z, Farrell D, Fell J, Hansen WA, Harmalkar A, Jeliazkov J, Kuenze G, Krys JD, Ljubetič A, Loshbaugh AL, Maguire J, Moretti R, Mulligan VK, Nance ML, Nguyen PT, Ó Conchúir S, Roy Burman SS, Samanta R, Smith ST, Teets F, Tiemann JKS, Watkins A, Woods H, Yachnin BJ, Bahl CD, Bailey-Kellogg C, Baker D, Das R, DiMaio F, Khare SD, Kortemme T, Labonte JW, Lindorff-Larsen K, Meiler J, Schief W, Schueler-Furman O, Siegel JB, Stein A, Yarov-Yarovoy V, Kuhlman B, Leaver-Fay A, Gront D, Gray JJ, Bonneau R]
通讯作者: Bonneau R
MFB: Targeting the Dark Proteome by Machine-learning-guided Protein Design
  • 批准号:
    2226816
  • 项目类别:
    Standard Grant
  • 资助金额:
    $150.0万
  • 财政年份:
    2022
  • 负责人:
    Sagar Khare
  • 依托单位:
Design Principles of Molecular Computing Using Engineered Enzymes
  • 批准号:
    1716623
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2017
  • 负责人:
    Sagar Khare
  • 依托单位:
Computational design of novel biodegrative enzyme pathways
  • 批准号:
    1330760
  • 项目类别:
    Standard Grant
  • 资助金额:
    $65.0万
  • 财政年份:
    2013
  • 负责人:
    Sagar Khare
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)