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J Mol Biol. 2018 Oct 12;430(20):3720-3734. doi: 10.1016/j.jmb.2018.04.012. Epub 2018 Apr 25.

Emerging Paradigms for Synthetic Design of Functional Amyloids.

Author information

1
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
2
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.
3
Department of Electrical Engineering and Computer Science and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA. Electronic address: timlu@mit.edu.
4
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China. Electronic address: zhongchao@shanghaitech.edu.cn.

Abstract

Many living organisms make use of diverse amyloid proteins as functional building blocks to fulfill a variety of physiological applications. This fact, along with the intrinsic self-assembly and outstanding material properties of amyloids, has prompted a significant amount of research in the synthetic design of functional amyloids to form diverse nanoarchitectures, molecular materials, and hybrid or composite materials. In particular, a new research paradigm has recently been advanced that uses synthetic biology to harness functional amyloids with cells as living materials or functional devices. Here we outline important progress in the synthetic design of functional amyloids, in the context of both non-living and living systems. We propose several important tools and underline emerging techniques and principles that might be useful in advancing the future synthetic design of functional amyloids.

KEYWORDS:

bacterial biofilms; functional amyloids; modular genetic design; self-assembly; synthetic biology

PMID:
29702108
DOI:
10.1016/j.jmb.2018.04.012

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