Computational protein design - the next generation tool to expand synthetic biology applications

被引:29
|
作者
Gainza-Cirauqui, Pablo [1 ,2 ]
Correia, Bruno Emanuel [1 ,2 ]
机构
[1] Ecole Polytech Fed Lausanne, Inst Bioengn, CH-1015 Lausanne, Switzerland
[2] Swiss Inst Bioinformat, CH-1015 Lausanne, Switzerland
基金
欧洲研究理事会; 欧盟地平线“2020”;
关键词
ATOMIC-LEVEL ACCURACY; DE-NOVO DESIGN; HOMO-OLIGOMERS; ENZYME DESIGN; LIVING CELLS; METALLOPROTEIN; NANOMATERIALS; FLUOROPHORE; ALGORITHMS; DYNAMICS;
D O I
10.1016/j.copbio.2018.04.001
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
One powerful approach to engineer synthetic biology pathways is the assembly of proteins sourced from one or more natural organisms. However, synthetic pathways often require custom functions or biophysical properties not displayed by natural proteins, limitations that could be overcome through modern protein engineering techniques. Structure-based computational protein design is a powerful tool to engineer new functional capabilities in proteins, and it is beginning to have a profound impact in synthetic biology. Here, we review efforts to increase the capabilities of synthetic biology using computational protein design. We focus primarily on computationally designed proteins not only validated in vitro, but also shown to modulate different activities in living cells. Efforts made to validate computational designs in cells can illustrate both the challenges and opportunities in the intersection of protein design and synthetic biology. We also highlight protein design approaches, which although not validated as conveyors of new cellular function in situ, may have rapid and innovative applications in synthetic biology. We foresee that in the near-future, computational protein design will vastly expand the functional capabilities of synthetic cells.
引用
收藏
页码:145 / 152
页数:8
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