Literature DB >> 24463066

Learning from nature - novel synthetic biology approaches for biomaterial design.

Anton V Bryksin1, Ashley C Brown2, Michael M Baksh3, M G Finn3, Thomas H Barker4.   

Abstract

Many biomaterials constructed today are complex chemical structures that incorporate biologically active components derived from nature, but the field can still be said to be in its infancy. The need for materials that bring sophisticated properties of structure, dynamics and function to medical and non-medical applications will only grow. Increasing appreciation of the functionality of biological systems has caused biomaterials researchers to consider nature for design inspiration, and many examples exist of the use of biomolecular motifs. Yet evolution, nature's only engine for the creation of new designs, has been largely ignored by the biomaterials community. Molecular evolution is an emerging tool that enables one to apply nature's engineering principles to non-natural situations using variation and selection. The purpose of this review is to highlight the most recent advances in the use of molecular evolution in synthetic biology applications for biomaterial engineering, and to discuss some of the areas in which this approach may be successfully applied in the future.
Copyright © 2014 Acta Materialia Inc. All rights reserved.

Entities:  

Keywords:  Biomaterials; Directed evolution; Synthetic biology; Tissue engineering; Virus particles

Mesh:

Substances:

Year:  2014        PMID: 24463066      PMCID: PMC3972820          DOI: 10.1016/j.actbio.2014.01.019

Source DB:  PubMed          Journal:  Acta Biomater        ISSN: 1742-7061            Impact factor:   8.947


  116 in total

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6.  Solving the structure of human H ferritin by genetically engineering intermolecular crystal contacts.

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5.  Synthetic biology for fibres, adhesives and active camouflage materials in protection and aerospace.

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Journal:  MRS Commun       Date:  2019-04-24       Impact factor: 2.566

6.  Effect of the silica nanoparticle size on the osteoinduction of biomineralized silk-silica nanocomposites.

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7.  Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering.

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  10 in total

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