Designed Negative Feedback from Transiently Formed Catalytic Nanostructures

Active droplets through enzyme-free, dynamic phosphorylation

Life continuously transduces energy to perform critical functions using energy stored in reactive molecules like ATP or NADH. ATP dynamically phosphorylates active sites on proteins and thereby regulates their function. Inspired by such machinery, regulating supramolecular functions using energy stored in reactive molecules has gained traction. Enzyme-free, synthetic systems that use dynamic phosphorylation to regulate supramolecular processes have not yet been reported, to our knowledge. Here, we show an enzyme-free reaction cycle that consumes the phosphorylating agent monoamidophosphate by transiently phosphorylating histidine and histidine-containing peptides. The phosphorylated species are labile and deactivate through hydrolysis. The cycle exhibits versatility and tunability, allowing for the dynamic phosphorylation of multiple precursors with a tunable half-life. Notably, we show the resulting phosphorylated products can regulate the peptide's phase separation, leading to active droplets that require the continuous conversion of fuel to sustain. The reaction cycle will be valuable as a model for biological phosphorylation but can also offer insights into protocell formation.

Unsupervised Data-Driven Reconstruction of Molecular Motifs in Simple to Complex Dynamic Micelles

The reshuffling mobility of molecular building blocks in self-assembled micelles is a key determinant of many their interesting properties, from emerging morphologies and surface compartmentalization, to dynamic reconfigurability and stimuli-responsiveness. However, the microscopic details of such complex structural dynamics are typically nontrivial to elucidate, especially in multicomponent assemblies. Here we show a machine-learning approach that allows us to reconstruct the structural and dynamic complexity of mono- and bicomponent surfactant micelles from high-dimensional data extracted from equilibrium molecular dynamics simulations. Unsupervised clustering of smooth overlap of atomic position (SOAP) data enables us to identify, in a set of multicomponent surfactant micelles, the dominant local molecular environments that emerge within them and to retrace their dynamics, in terms of exchange probabilities and transition pathways of the constituent building blocks. Tested on a variety of micelles differing in size and in the chemical nature of the constitutive self-assembling units, this approach effectively recognizes the molecular motifs populating them in an exquisitely agnostic and unsupervised way, and allows correlating them to their composition in terms of constitutive surfactant species.

Emergence of a Promiscuous Peroxidase Under Non-Equilibrium Conditions

Herein, we report the substrate induced generation of a transient catalytic microenvironment from a single amino acid functionalized fatty acid in presence of a cofactor hemin. The catalytic state accessed under non-equilibrium conditions showed acceleration of peroxidase activity resulting in degradation of the substrate and subsequently led to disassembly. Equilibrated systems could not access the three-dimensional microphases and showed substantially lower catalytic activity. Further, the assembled state showed latent catalytic function (promiscuity) to hydrolyze a precursor to yield the same substrate. Consequently, the assembly demonstrated protometabolism by exploiting the peroxidase-hydrolase cascade to augment the lifetime and the mechanical properties of the catalytic state.

Programmable Transient Supramolecular Chiral G-quadruplex Hydrogels via a Chemically Fueled Non-Equilibrium Self-assembly Strategy

The temporal and spatial control of natural systems has aroused great interest in the creation of synthetic mimics. Operating with boronic ester-based dynamic covalent chemistry and coupling it with an internal pH feedback system, herein, we developed a new chemically fueled reaction network to design non-equilibrium supramolecular chiral G-quadruplex hydrogels with programmable lifetime from minutes, to hours, to days, as well as high transparency and conductivity, excellent injectability and rapid self-healability. The cycle system can be controlled via in-situ kinetically-controlled formation and dissociation of dynamic boronic ester bonds between cis-diols of guanosine (G) and 5-fluorobenzoxaborole (B) under chemical fuels (KOH and 1,3-propanesultone), leading to the formation of a precipitate-solution-gel-precipitate cycle under non-equilibrium conditions. A combined experimental-computational approach revealed that the underlying mechanism of the non-equilibrium self-assembly involves aggregation and disaggregation of right-handed helical G-quadruplex superstructure. With consecutive cycles of fuel addition, the non-equilibrium system can be easily refueled at least 6 cycles without obvious loss in the rheological moduli of the transient hydrogels. The proposed dynamic boronic ester-based non-equilibrium self-assembly strategy offers a new option to design next-generation adaptive and interactive smart materials.

Fuel-Driven and Enzyme-Regulated Redox-Responsive Supramolecular Hydrogels

Chemical reaction networks (CRN) embedded in hydrogels can transform responsive materials into complex self-regulating materials that generate feedback to counter the effect of external stimuli. This study presents hydrogels containing the β-cyclodextrin (CD) and ferrocene (Fc) host-guest pair as supramolecular crosslinks where redox-responsive behavior is driven by the enzyme-fuel couples horse radish peroxidase (HRP)-H2 O2 and glucose oxidase (GOx)-d-glucose. The hydrogel can be tuned from a responsive to a self-regulating supramolecular system by varying the concentration of added reduction fuel d-glucose. The onset of self-regulating behavior is due to formation of oxidation fuel in the hydrogel by a cofactor intermediate GOx[FADH2 ]. UV/Vis spectroscopy, rheology, and kinetic modeling were employed to understand the emergence of out-of-equilibrium behavior and reveal the programmable negative feedback response of the hydrogel, including the adaptation of its elastic modulus and its potential as a glucose sensor.

On the use of catalysis to bias reaction pathways in out-of-equilibrium systems

Catalysis is an essential function in living systems and provides a way to control complex reaction networks. In natural out-of-equilibrium chemical reaction networks (CRNs) driven by the consumption of chemical fuels, enzymes provide catalytic control over pathway kinetics, giving rise to complex functions. Catalytic regulation of man-made fuel-driven systems is far less common and mostly deals with enzyme catalysis instead of synthetic catalysts. Here, we show via simulations, illustrated by literature examples, how any catalyst can be incorporated in a non-equilibrium CRN and what their effect is on the behavior of the system. Alteration of the catalysts' concentrations in batch and flow gives rise to responses in maximum conversion, lifetime (i.e. product half-lives and t90 - time to recover 90% of the reactant) and steady states. In situ up or downregulation of catalysts' levels temporarily changes the product steady state, whereas feedback elements can give unusual concentration profiles as a function of time and self-regulation in a CRN. We show that simulations can be highly effective in predicting CRN behavior. In the future, shifting the focus from enzyme catalysis towards small molecule and metal catalysis in out-of-equilibrium systems can provide us with new reaction networks and enhance their application potential in synthetic materials, overall advancing the design of man-made responsive and interactive systems.

Chemical-Fuel-Driven Assembly in Macromolecular Science: Recent Advances and Challenges

In the past decade, chemical-fuel-driven processes have been integrated with synthetic self-assembled systems, in which both the formation and properties can be carefully controlled. This strategy can drive systems far away from equilibrium, tailor the lifetime window of transient self-assembled systems, thus holding promise for future smart, adaptive, self-regulated, and life-like systems. By judging whether the building blocks or transient self-assembled systems participate in the fuel-to-waste conversion, the reported systems can be divided into two classes: dissipative self-assembly and self-assembly under dissipative conditions. Among these systems, the utilization of macromolecular building blocks to design non-equilibrium self-assemblied systems is becoming common. Macromolecular systems capable of dissipating energy with a programmed time domain have found widespread application, and have therefore been an active field of scientific inquiry. This Minireview aims to highlight the recent progress and opportunities of chemical-fuel-driven assembly in macromolecules. We envision that chemical-fuel-driven approach will play an increasingly important role in polymer science in the near future.

Non-Equilibrium Polymerization of Cross-β Amyloid Peptides for Temporal Control of Electronic Properties

Hydrophobic collapse plays crucial roles in protein functions, from accessing the complex three-dimensional structures of native enzymes to the dynamic polymerization of non-equilibrium microtubules. However, hydrophobic collapse can also lead to the thermodynamically downhill aggregation of aberrant proteins, which has interestingly led to the development of a unique class of soft nanomaterials. There remain critical gaps in the understanding of the mechanisms of how hydrophobic collapse can regulate such aggregation. Demonstrated herein is a methodology for non-equilibrium amyloid polymerization through mutations of the core sequence of Aβ peptides by a thermodynamically activated moiety. An out of equilibrium state is realized because of the negative feedback from the transiently formed cross-β amyloid networks. Such non-equilibrium amyloid nanostructures were utilized to access temporal control over its electronic properties.

Aldolase Cascade Facilitated by Self-Assembled Nanotubes from Short Peptide Amphiphiles

Early evolution benefited from a complex network of reactions involving multiple C-C bond forming and breaking events that were critical for primitive metabolism. Nature gradually chose highly evolved and complex enzymes such as lyases to efficiently facilitate C-C bond formation and cleavage with remarkable substrate selectivity. Reported here is a lipidated short peptide which accesses a homogenous nanotubular morphology to efficiently catalyze C-C bond cleavage and formation. This system shows morphology-dependent catalytic rates, suggesting the formation of a binding pocket and registered enhancements in the presence of the hydrogen-bond donor tyrosine, which is exploited by extant aldolases. These assemblies showed excellent substrate selectivity and templated the formation of a specific adduct from a pool of possible adducts. The ability to catalyze metabolically relevant cascade transformations suggests the importance of such systems in early evolution.