Dykeman-Bermingham Peter A, Bogen Matthew P, Chittari Supraja S, Grizzard Savannah F, Knight Abigail S
Department of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
J Am Chem Soc. 2024 Mar 27;146(12):8607-8617. doi: 10.1021/jacs.4c00440. Epub 2024 Mar 12.
Macromolecule sequence, structure, and function are inherently intertwined. While well-established relationships exist in proteins, they are more challenging to define for synthetic polymer nanoparticles due to their molecular weight, sequence, and conformational dispersities. To explore the impact of sequence on nanoparticle structure, we synthesized a set of 16 compositionally identical, sequence-controlled polymers with distinct monomer patterning of dimethyl acrylamide and a bioinspired, structure-driving di(phenylalanine) acrylamide (FF). Sequence control was achieved through multiblock polymerizations, yielding unique ensembles of polymer sequences which were simulated by kinetic Monte Carlo simulations. Systematic analysis of the global (tertiary- and quaternary-like) structure in this amphiphilic copolymer series revealed the effect of multiple sequence descriptors: the number of domains, the hydropathy of terminal domains, and the patchiness (density) of FF within a domain, each of which impacted both chain collapse and the distribution of single- and multichain assemblies. Furthermore, both the conformational freedom of chain segments and local-scale, β-sheet-like interactions were sensitive to the patchiness of FF. To connect sequence, structure, and target function, we evaluated an additional series of nine sequence-controlled copolymers as sequestrants for rare earth elements (REEs) by incorporating a functional acrylic acid monomer into select polymer scaffolds. We identified key sequence variables that influence the binding affinity, capacity, and selectivity of the polymers for REEs. Collectively, these results highlight the potential of and boundaries of sequence control via multiblock polymerizations to drive primary sequence ensembles hierarchical structures, and ultimately the functionality of compositionally identical polymeric materials.
大分子的序列、结构和功能本质上是相互交织的。虽然蛋白质中存在已确立的关系,但对于合成聚合物纳米颗粒而言,由于其分子量、序列和构象分散性,要定义这些关系更具挑战性。为了探索序列对纳米颗粒结构的影响,我们合成了一组16种组成相同、序列可控的聚合物,它们具有不同的二甲基丙烯酰胺单体图案以及一种受生物启发的、驱动结构的二(苯丙氨酸)丙烯酰胺(FF)。通过多嵌段聚合实现序列控制,产生独特的聚合物序列组合,这些组合通过动力学蒙特卡罗模拟进行了模拟。对该两亲共聚物系列的整体(类似三级和四级)结构进行系统分析,揭示了多个序列描述符的影响:结构域的数量、末端结构域的亲水性以及结构域内FF的斑块性(密度),每一个都影响链的塌陷以及单链和多链组装体的分布。此外,链段的构象自由度和局部尺度的、类似β-折叠的相互作用对FF的斑块性都很敏感。为了将序列、结构和目标功能联系起来,我们通过将功能性丙烯酸单体纳入选定的聚合物支架中,评估了另外一系列九种序列可控的共聚物作为稀土元素(REEs)的螯合剂。我们确定了影响聚合物对REEs的结合亲和力、容量和选择性的关键序列变量。总体而言,这些结果突出了通过多嵌段聚合进行序列控制以驱动一级序列组合形成层次结构,并最终实现组成相同的聚合物材料功能的潜力和界限。