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Macromolecular Rapid Communications
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Macromolecular Rapid Communications
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Polymerization‐Induced Self‐Assembly for Artificial Biology: Opportunities and Challenges

Authors: Gong Cheng; Juan Pérez-Mercader; Juan Pérez-Mercader;

Polymerization‐Induced Self‐Assembly for Artificial Biology: Opportunities and Challenges

Abstract

AbstractThe study of the origin of life and current undergoing efforts to produce artificial chemical systems mimicking the behavior of natural living systems have emerged as a hot topic at the interfaces among disciplines. In these two problems, the spontaneous generation of free‐energy gradients by means of material interfaces plays a central role and, until recently, hindered progress. Polymerization‐induced self‐assembly (PISA) is a promising strategy for the formation of polymeric vesicles from a homogeneous mixture which, in the form of artificial biology, may reflect and inform the generation of vesicular structures in primitive Earth. In the past few years, PISA has been used for the construction of biomimetic vesicles or artificial protocells in artificial biology. These not only give inspiration for decoding some aspects of the origin of life in arbitrary environments but also offer potential for building innovative functional systems with a wide variety of applications. In this review, a brief summary of some of the unique possibilities offered by PISA and the development of PISA in exploration of artificial biology is provided, while some of the allied current challenges, limitations, and opportunities in this exciting field are highlighted.

Related Organizations
Keywords

Models, Chemical, Molecular Structure, Biomimetic Materials, Polymers, Artificial Cells, Chemistry Techniques, Synthetic, Micelles, Unilamellar Liposomes, Polymerization

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    71
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
71
Top 1%
Top 10%
Top 1%
bronze