Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/133730
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Type: | Journal article |
Title: | Resilin-mimetics as a smart biomaterial platform for biomedical applications |
Author: | Balu, R. Dutta, N.K. Dutta, A.K. Choudhury, N.R. |
Citation: | Nature Communications, 2021; 12(1):149-1-149-15 |
Publisher: | Nature Research (part of Springer Nature) |
Issue Date: | 2021 |
ISSN: | 2041-1723 2041-1723 |
Statement of Responsibility: | Rajkamal Balu, Naba K. Dutta, Ankit K. Dutta and Namita Roy Choudhury |
Abstract: | Intrinsically disordered proteins have dramatically changed the structure-function paradigm of proteins in the 21st century. Resilin is a native elastic insect protein, which features intrinsically disordered structure, unusual multi-stimuli responsiveness and outstanding resilience. Advances in computational techniques, polypeptide synthesis methods and modular protein engineering routines have led to the development of novel resilin-like polypeptides (RLPs) including modular RLPs, expanding their applications in tissue engineering, drug delivery, bioimaging, biosensors, catalysis and bioelectronics. However, how the responsive behaviour of RLPs is encoded in the amino acid sequence level remains elusive. This review summarises the milestones of RLPs, and discusses the development of modular RLP-based biomaterials, their current applications, challenges and future perspectives. A perspective of future research is that sequence and responsiveness profiling of RLPs can provide a new platform for the design and development of new modular RLP-based biomaterials with programmable structure, properties and functions. |
Keywords: | Peptides |
Rights: | © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
DOI: | 10.1038/s41467-020-20375-x |
Grant ID: | http://purl.org/au-research/grants/arc/DP160101267 |
Published version: | http://dx.doi.org/10.1038/s41467-020-20375-x |
Appears in Collections: | Chemical Engineering publications |
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hdl_133730.pdf | Published version | 1.97 MB | Adobe PDF | View/Open |
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