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Article: Peptide-induced super-assembly of biocatalytic metal-organic frameworks for programmed enzyme cascades
Title | Peptide-induced super-assembly of biocatalytic metal-organic frameworks for programmed enzyme cascades |
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Authors | |
Keywords | Catalyst activity Crystalline materials Organometallics Peptides Activity enhancement |
Issue Date | 2019 |
Publisher | Royal Society of Chemistry: Open Access. The Journal's web site is located at http://www.rsc.org/publishing/journals/sc/About.asp |
Citation | Chemical Science, 2019, v. 10 n. 34, p. 7852-7858 How to Cite? |
Abstract | Despite the promise of metal-organic frameworks (MOFs) as functional matrices for enzyme stabilization, the development of a stimulus-responsive approach to induce multi-enzyme cascade reaction in MOFs remains a critical challenge. Here, a novel method using peptide-induced super-assembly of MOFs is developed for programmed enzyme cascade reactions on demand. The super-assembled MOF particles containing different enzymes shows remarkable 7.3-fold and 4.4-fold catalytic activity enhancements for the two-enzyme and three-enzyme cascade reactions, respectively, as compared with the unassembled MOF nanoparticles. Further digestion of the coiled-coil forming peptides on the MOF surfaces lead to the MOFs superstructure disassembly and the programmed enzyme cascade reaction to be “switched-off”. Research on these stimuli-responsive materials with controllable and predictable biocatalytic functions/properties provide a concept to facilitate the fabrication of next-generation smart materials based on precision chemistry. |
Description | eid_2-s2.0-85072053044 |
Persistent Identifier | http://hdl.handle.net/10722/284484 |
ISSN | 2023 Impact Factor: 7.6 2023 SCImago Journal Rankings: 2.333 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liang, J | - |
dc.contributor.author | Mazur, F | - |
dc.contributor.author | Tang, C | - |
dc.contributor.author | Ning, X | - |
dc.contributor.author | Chandrawati, R | - |
dc.contributor.author | Liang, K | - |
dc.date.accessioned | 2020-08-07T08:58:18Z | - |
dc.date.available | 2020-08-07T08:58:18Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Chemical Science, 2019, v. 10 n. 34, p. 7852-7858 | - |
dc.identifier.issn | 2041-6520 | - |
dc.identifier.uri | http://hdl.handle.net/10722/284484 | - |
dc.description | eid_2-s2.0-85072053044 | - |
dc.description.abstract | Despite the promise of metal-organic frameworks (MOFs) as functional matrices for enzyme stabilization, the development of a stimulus-responsive approach to induce multi-enzyme cascade reaction in MOFs remains a critical challenge. Here, a novel method using peptide-induced super-assembly of MOFs is developed for programmed enzyme cascade reactions on demand. The super-assembled MOF particles containing different enzymes shows remarkable 7.3-fold and 4.4-fold catalytic activity enhancements for the two-enzyme and three-enzyme cascade reactions, respectively, as compared with the unassembled MOF nanoparticles. Further digestion of the coiled-coil forming peptides on the MOF surfaces lead to the MOFs superstructure disassembly and the programmed enzyme cascade reaction to be “switched-off”. Research on these stimuli-responsive materials with controllable and predictable biocatalytic functions/properties provide a concept to facilitate the fabrication of next-generation smart materials based on precision chemistry. | - |
dc.language | eng | - |
dc.publisher | Royal Society of Chemistry: Open Access. The Journal's web site is located at http://www.rsc.org/publishing/journals/sc/About.asp | - |
dc.relation.ispartof | Chemical Science | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Catalyst activity | - |
dc.subject | Crystalline materials | - |
dc.subject | Organometallics | - |
dc.subject | Peptides | - |
dc.subject | Activity enhancement | - |
dc.title | Peptide-induced super-assembly of biocatalytic metal-organic frameworks for programmed enzyme cascades | - |
dc.type | Article | - |
dc.identifier.email | Tang, C: tangc@hku.hk | - |
dc.identifier.authority | Tang, C=rp01765 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1039/C9SC02021G | - |
dc.identifier.scopus | eid_2-s2.0-85072053044 | - |
dc.identifier.hkuros | 312226 | - |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 34 | - |
dc.identifier.spage | 7852 | - |
dc.identifier.epage | 7858 | - |
dc.identifier.isi | WOS:000482978700024 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 2041-6520 | - |