NSF/DMR-BSF: Synergistic biopolymer co-assembly regulating the emergence of translation and replication in synthetic networks

NSF/DMR-BSF：协同生物聚合物共组装调节合成网络中翻译和复制的出现

• 批准号: 2004846
• 负责人: David Lynn
• 金额: $ 52.5万
• 依托单位: Emory University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2004846&HistoricalAwards=false
• 关键词: NSF; DMR; BSF; Synergistic; biopolymer

Part 1. Non-Technical SummaryLife has been broadly conceptualized as a computation optimizing the storage and use of information to enable evolution. On Earth, life exploits polymer cooperativity, coupling “digital” information storage in DNA with an environmentally responsive “analog” function of proteins. Such cooperativity is achieved through the digital-to-analog converter (DAC) of molecular information flow known as the ribosome. Based on current synthetic capabilities for preparing and modifying polymers, the goal of this proposal is to extend life’s mutualistic polymer networks to achieve alternative replication and synthetic translation, extending the computations beyond existing biopolymers. Conceptually, achieving this goal would change our understanding of life in the Universe by moving evolvable materials beyond biopolymers, generating functional materials both orthogonal to and compatible with current biological networks, and revealing new opportunities for identifying life beyond Earth. Achieving these goals have the potential to train a new generation of material scientists, scholars who naturally bridge the worlds of synthetic, alternative, and natural biomaterials, capturing the imagination of scholars and the lay public with the potential applications for chemical evolution outside of extant biology on this planet and beyond.Part 2. Technical SummaryBuilding on the practical success of block copolymers and polymer blends, the emerging energetic codes for self- and co-assembly of biopolymers, and the synthetic and analytical tools allowing for the characterization of mixtures of complex polymers, it now becomes possible to explore reaction-diffusion polymerization networks that cooperatively drive physical phase changes. Such oligomerization networks can reach critical Flory-Huggins thresholds to drive liquid-liquid phase separation. The resulting solute rich phases create new reaction environments that change reaction kinetics. This progressive tension, coupling dynamic physical phases with altered reaction networks, will be used to create self-organizing networks. As the solute-rich phases grow via Ostwald’s rule of stages, seeding diverse ordered populations of nuclei that access liquid-solid phase changes at specific particle sizes, the new phase becomes capable of autocatalytic propagation of a paracrystalline surface able to template new polymer growth. An autocatalytic feedback loop will appear if the new polymer is engineered to template the initial assembly. This proposal will compare two systems to exploit this dynamic physical/chemical tension -- a covalently connected peptide-nucleic acid chimera and separate peptide/nucleic acid co-assemblies, specifically under conditions where each templates the other’s oligomerization intermolecularly. These two complementary approaches to translation are designed to model a minimal ribosome. The work will take advantage of the synergistic and complementary strengths in the collaborating laboratories, the necessary structural and kinetic analyses of these catalytic assemblies. Nature’s ribosome achieves unidirectional polymer translation, nucleic acid to protein. The proposed minimal synthetic system will be a coacervate catalyzing dynamic reaction cycles of cross-templating oligomers and provide a critical proof-of-principle for defining the general rules limiting polymer to polymer translation. This minimal system approach has the potential ultimately to extend to other materials for evolving desired function as controlled by environmental inputs. If successful, this approach will add a critical new strategy for molecular computing and discovering novel functional materials.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

部分1.非技术摘要生命已经被广泛地概念化为优化信息存储和使用以实现进化的计算。在地球上，生命利用聚合物的协同作用，将DNA中的“数字”信息存储与蛋白质的环境响应“模拟”功能相结合。这种协同性是通过称为核糖体的分子信息流的数模转换器（DAC）实现的。基于目前制备和修饰聚合物的合成能力，该提案的目标是延长生命的互利聚合物网络，以实现替代复制和合成翻译，将计算扩展到现有的生物聚合物之外。从概念上讲，实现这一目标将改变我们对宇宙中生命的理解，方法是将可进化的材料从生物聚合物中转移出来，产生与当前生物网络正交且兼容的功能材料，并揭示识别地球以外生命的新机会。实现这些目标有可能培养新一代的材料科学家，学者谁自然桥梁的合成，替代和天然生物材料的世界，捕捉学者和外行公众的想象力与化学进化的潜在应用以外的现存生物在这个星球上和超越。第2部分。基于嵌段共聚物和聚合物共混物的实际成功，生物聚合物自组装和共组装的新兴能量代码，以及允许表征复杂聚合物混合物的合成和分析工具，现在可以探索协同驱动物理相变的反应扩散聚合网络。这样的低聚网络可以达到临界Flory-Huggins阈值以驱动液-液相分离。所得的溶质富集相产生改变反应动力学的新反应环境。这种渐进的张力，将动态物理相与改变的反应网络相耦合，将用于创建自组织网络。随着富含溶质的相通过奥斯特瓦尔德阶段规则生长，在特定颗粒尺寸下接种进入液-固相变化的不同有序核群，新相变得能够自催化传播能够模板化新聚合物生长的次晶表面。如果新的聚合物被设计成初始组装的模板，则会出现自催化反馈回路。该提案将比较两个系统，以利用这种动态的物理/化学张力-共价连接的肽-核酸嵌合体和单独的肽/核酸共组装体，特别是在每个模板分子间的寡聚化的条件下。这两种互补的翻译方法旨在模拟最小的核糖体。这项工作将利用合作实验室的协同和互补优势，对这些催化组件进行必要的结构和动力学分析。自然界的核糖体实现单向聚合物翻译，核酸到蛋白质。所提出的最小合成系统将是一个凝聚层催化的动态反应循环的交叉模板低聚物，并提供了一个关键的原则证明定义的一般规则限制聚合物的聚合物翻译。这种最小系统方法有可能最终扩展到其他材料，以实现由环境输入控制的期望功能。如果成功的话，这种方法将为分子计算和发现新型功能材料增加一个关键的新战略。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Capturing Nested Information from Disordered Peptide Phases

从无序肽相中捕获嵌套信息

• DOI: 10.1002/pep2.24215
• 发表时间: 2021
• 期刊: Peptide science
• 影响因子: 2.4
• 作者: Gordon, Christella K;Luu, Regina;Lynn, David G
• 通讯作者: Lynn, David G

Liquid-like phases preorder peptides for assembly

类液相预排序肽进行组装

• DOI: 10.1002/syst.202000007
• 发表时间: 2020
• 期刊: ChemSystemsChem
• 作者: 2. Rengifo, Rolando F;Sementilli, Anthony;Kim, Youngsun;Liang, Chen;Li, Noel Xiang’An;Mehta, Anil K;Lynn, David G
• 通讯作者: Lynn, David G