RAISE: Design of co-assembling peptides as recombinant protein fusion tags for integrating enzymes into supramolecular hydrogels
RAISE: Design of co-assembling peptides as recombinant protein fusion tags for integrating enzymes into supramolecular hydrogels
批准号:
1743432
负责人:
Carol Hall
金额:
$100.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2023-12-31
中文摘要
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英文摘要
This RAISE project is jointly funded by the Biological and Environmental Interactions of Nanoscale Materials program in CBET Division in the Engineering Directorate, the Molecular Biophysics Program in the Division of Molecular and Cellular Biosciences in the Biological Sciences Directorate, and the Office of Integrative Activities. In this multi-disciplinary project, nanomaterial scaffolds, or hydrogels, with immobilized enzymes will be produced using proteins as a design template. The proposed method provides a novel alternative to conventional immobilization techniques which are more difficult and time consuming. This novel assembly technique is designed so that it selectively self-assembles into nano fiber structures. This targeted design and assembly of proteins into nanofibers is an exciting new research frontier that is largely unexplored with regard to both fundamental protein assembly and design of functional nanomaterials. A multi-disciplinary team of investigators will combine their expertise in modeling, imaging and characterization methods in order to demonstrate novel protein assembly and to advance fundamental understanding of protein assembly. The proposed technique will be an extraordinary improvement over the current state-of-the-art in protein assembly methods. Successful implementation of the proposed technique is anticipated to have a long-term broad impact on the engineering of novel functional materials for various biomedical and biotechnological applications. A variety of educational activities will be developed, including an iPad app on protein folding, and a video describing how computational methods can be used to design new biomaterials.The proposed method bypasses conventional immobilization techniques in which the nanostructured scaffold is functionalized post-assembly via reactions at its surface. Instead, enzymes are expressed by bacteria from recombinant DNA with peptide fusion tags that mediate their assembly into nanostructured materials. The key to the method is the use of fusion tags that co-assemble into fibrillar structures when mixed with a complementary peptide, but remain unassembled when pure. Co-assembling peptides are an exciting research frontier that is virtually unexplored in both protein biophysics and functional nanomaterials. The goals of the project are to demonstrate novel enzyme-functionalized supramolecular hydrogels, and to advance fundamental biophysical understanding necessary to predict peptide co-assembly. Three specific aims are proposed: (1) characterize the assembly process and resultant structure for known â-sheet nanofiber-forming co-assembling peptide pairs, (2) design and test new pairs of selectively co-assembling peptides and, (3) test co-assembling peptides as tags to immobilize proteins in nanostructured biomaterials. Each aim will leverage the computational modeling expertise of PI Hall, with expertise in spectroscopic and microscopic characterization of peptide nanofibers provided by Co-PI Hudalla and solid-state nuclear magnetic resonance expertise provide by Co-PI Paravastu. The proposed enzyme immobilization method will be an extraordinary improvement over the current state-of-the-art in protein immobilization methods and hence opens the door to addressing long-standing challenges in installing biologically-active, folded proteins into biomaterials. A variety of educational activities will be developed, including an iPad app on protein folding, and a video describing how computational methods can be used to design new biomaterials.
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DOI:
10.1080/00268976.2019.1654140
发表时间:
2019-08
期刊:
Molecular Physics
影响因子:
1.7
作者:
[K. Wang;C. Hall]
通讯作者:
K. Wang;C. Hall
A multiscale coarse-grained model to predict the molecular architecture and drug transport properties of modified chitosan hydrogels
用于预测改性壳聚糖水凝胶的分子结构和药物转运特性的多尺度粗粒度模型
DOI:
10.1039/d0sm01243b
发表时间:
2020
期刊:
Soft Matter
影响因子:
3.4
作者:
[Singhal, Ankush, Schneible, John D., Lilova, Radina L., Hall, Carol K., Menegatti, Stefano, Grafmüller, Andrea]
通讯作者:
Grafmüller, Andrea
On the liquid demixing of water + elastin-like polypeptide mixtures: bimodal re-entrant phase behaviour
关于水弹性蛋白样多肽混合物的液体分层:双峰重入相行为
DOI:
10.1039/d0cp05013j
发表时间:
2021
期刊:
Physical Chemistry Chemical Physics
影响因子:
3.3
作者:
[Lindeboom, Tom, Zhao, Binwu, Jackson, George, Hall, Carol K., Galindo, Amparo]
通讯作者:
Galindo, Amparo
DOI:
10.1021/acs.macromol.8b01505
发表时间:
2018-11
期刊:
Macromolecules
影响因子:
5.5
作者:
[K. Wang;Tania Betancourt;C. Hall]
通讯作者:
K. Wang;Tania Betancourt;C. Hall
Molecular complementarity and structural heterogeneity within co-assembled peptide β-sheet nanofibers
共组装肽β片纳米纤维内的分子互补性和结构异质性
DOI:
10.1039/c9nr08725g
发表时间:
2020
期刊:
Nanoscale
影响因子:
6.7
作者:
[Wong, Kong M., Wang, Yiming, Seroski, Dillon T., Larkin, Grant E., Mehta, Anil K., Hudalla, Gregory A., Hall, Carol K., Paravastu, Anant K.]
通讯作者:
Paravastu, Anant K.
共 6 条
EFRI E3P: Massive Microplastics Remediation using Novel Microcleaners and Microbiome Processing Accelerated by Artificial Intelligence
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批准号:2029327
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项目类别:Standard Grant
-
资助金额:$200.0万
-
财政年份:2020
-
负责人:Carol Hall
-
依托单位:
Element: Computational Toolkit to Discover Peptides that Self-assemble into User-selected Structures
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批准号:1931430
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项目类别:Standard Grant
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资助金额:$60.0万
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财政年份:2019
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负责人:Carol Hall
-
依托单位:
EAGER: Computational Design of Peptide Ligands for the Bioseparation of "Fab" Antibody Fragments
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批准号:1830272
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2018
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负责人:Carol Hall
-
依托单位:
UNS: Computational Design of Generic Underwater Adhesives based on Conjugating DOPA-Containing Polymers and Amyloid-Forming Peptides
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批准号:1512059
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项目类别:Standard Grant
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资助金额:$28.5万
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财政年份:2015
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负责人:Carol Hall
-
依托单位:
Predicting the Nature of the Protein Corona: From Fundamental Modeling to Phenomenological Descriptors
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批准号:1236053
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2012
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负责人:Carol Hall
-
依托单位:
Collaborative Research: Design of Multifunctional Doubly-Fusogenic Liposomes to Deliver Therapeutics and Diagnostics
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批准号:1206943
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项目类别:Standard Grant
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资助金额:$24.0万
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财政年份:2012
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负责人:Carol Hall
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依托单位:
CDI Type II Computational Discovery of Unusual Nucleic-Acid-Based Nanostructures
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批准号:0835794
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项目类别:Standard Grant
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资助金额:$150.0万
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财政年份:2008
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负责人:Carol Hall
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依托单位:
Molecular Recognition in Microarrays: A Computer Simulation Study
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批准号:0625888
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2006
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负责人:Carol Hall
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依托单位:
Computer Simulation Studies of the Thermodynamics and Kinetics of Protein Folding and Aggregation
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批准号:9704044
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项目类别:Continuing Grant
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资助金额:$20.05万
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财政年份:1997
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负责人:Carol Hall
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依托单位:
Aqueous Two-Phase Extraction: Theory and Experiment
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批准号:9208590
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项目类别:Continuing Grant
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资助金额:$27.82万
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财政年份:1992
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负责人:Carol Hall
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依托单位:
Reception for Women Chemical Engineers at the AIChE Meeting in San Francisco, November 6, 1989
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批准号:9001207
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项目类别:Standard Grant
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资助金额:$0.18万
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财政年份:1989
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负责人:Carol Hall
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依托单位:
Phase Equilibrium Theory of Aqueous Two-Phase Extraction: International Collaboration
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批准号:8720284
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项目类别:Standard Grant
-
资助金额:$4.5万
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财政年份:1988
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负责人:Carol Hall
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依托单位:
Theory of the Phase-Change Behavior and Thermodynamic Properties of Hydrogen in Metal Alloys (Chemistry)
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批准号:8415074
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项目类别:Continuing Grant
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资助金额:$2.99万
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财政年份:1985
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负责人:Carol Hall
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依托单位:
Theory of the Phase Change Behavior and Thermodynamic Properties of Hydrogen in Metal Alloys
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批准号:8514808
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项目类别:Continuing Grant
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资助金额:$16.01万
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财政年份:1985
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负责人:Carol Hall
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依托单位:
Statistical Theory of the Phase-Change Behavior of Metal- Hydrogen Systems
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批准号:8109557
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项目类别:Continuing Grant
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资助金额:$14.13万
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财政年份:1981
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负责人:Carol Hall
-
依托单位:
Statistical Theory of the Phase Change Behavior of Metal- Hydrogen Systems
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批准号:7909735
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:1979
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负责人:Carol Hall
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依托单位:
国内基金
海外基金
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