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多相动态化学网络设计。

Design of multi-phase dynamic chemical networks.

机构信息

Departments of Chemistry and Biology, Emory University, Atlanta, Georgia 30322, USA.

School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.

出版信息

Nat Chem. 2017 Aug;9(8):799-804. doi: 10.1038/nchem.2737. Epub 2017 Feb 27.

Abstract

Template-directed polymerization reactions enable the accurate storage and processing of nature's biopolymer information. This mutualistic relationship of nucleic acids and proteins, a network known as life's central dogma, is now marvellously complex, and the progressive steps necessary for creating the initial sequence and chain-length-specific polymer templates are lost to time. Here we design and construct dynamic polymerization networks that exploit metastable prion cross-β phases. Mixed-phase environments have been used for constructing synthetic polymers, but these dynamic phases emerge naturally from the growing peptide oligomers and create environments suitable both to nucleate assembly and select for ordered templates. The resulting templates direct the amplification of a phase containing only chain-length-specific peptide-like oligomers. Such multi-phase biopolymer dynamics reveal pathways for the emergence, self-selection and amplification of chain-length- and possibly sequence-specific biopolymers.

摘要

模板指导的聚合反应使我们能够准确地存储和处理自然界中生物聚合物的信息。这种核酸和蛋白质之间的共生关系,即所谓的生命中心法则,现在变得非常复杂,而创造初始序列和链长特异性聚合物模板所需的渐进步骤已经随着时间的推移而消失。在这里,我们设计并构建了利用亚稳态朊病毒交叉-β 相的动态聚合网络。混合相环境已被用于构建合成聚合物,但这些动态相是从不断增长的肽低聚物中自然产生的,它们创造了适合组装核形成和选择有序模板的环境。所得模板指导包含仅具有链长特异性肽样低聚物的相的扩增。这种多相生物聚合物动力学揭示了链长和可能序列特异性生物聚合物的出现、自我选择和扩增的途径。

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