Smart biomaterials that are self-assembled from peptide amphiphiles (PA) are known to undergo morphological transitions in response to specific physiological stimuli. The design of such customizable hydrogels is of significant interest due to their potential applications in tissue engineering, biomedical imaging, and drug delivery. Using a novel coarse-grained peptide/polymer model, which has been validated by comparison of equilibrium conformations from atomistic simulations, large-scale molecular dynamics simulations are performed to examine the spontaneous self-assembly process. Starting from initial random configurations, these simulations result in the formation of nanostructures of various sizes and shapes as a function of the electrostatics and temperature. At optimal conditions, the self-assembly mechanism for the formation of cylindrical nanofibers is deciphered involving a series of steps: (1) PA molecules quickly undergo micellization whose driving force is the hydrophobic interactions between alkyl tails; (2) neighboring peptide residues within a micelle engage in a slow ordering process that leads to the formation of β-sheets exposing the hydrophobic core; (3) spherical micelles merge together through an end-to-end mechanism to form cylindrical nanofibers that exhibit high structural fidelity to the proposed structure based on experimental data. As the temperature and electrostatics vary, PA molecules undergo alternative kinetic mechanisms, resulting in the formation of a wide spectrum of nanostructures. A phase diagram in the electrostatics-temperature plane is constructed delineating regions of morphological transitions in response to external stimuli.

Stimuli-responsive, self-assembling nanomaterials hold a great promise to revolutionize medicine and technology. However, current discovery is slow and often serendipitous. Here we report a multiscale modeling study to elucidate the pH-controlled self-assembly of nanofibers from the peptide amphiphiles, palmitoyl-I-A3E4-NH2. The coarse-grained simulations revealed the formation of random-coil based spherical micelles at strong electrostatic repulsion. However, at weak or no electrostatic repulsion, the micelles merge into a nanofiber driven by the β-sheet formation between the peptide segments. The all-atom constant pH molecular dynamics revealed a cooperative transition between random coil and β-sheet in the pH range 6–7, matching the CD data. Interestingly, although the bulk pKa is more than one unit below the transition pH, consistent with the titration data, the highest pKa’s coincide with the transition pH, suggesting that the latter may be tuned by modulating the pKa’s of a few solvent-buried Glu side chains. Together, these data offer, to our best knowledge, the first multiresolution and quantitative view of the pH-dependent self-assembly of nanofibers. The novel protocols and insights gained are expected to advance the computer-aided design and discovery of pH-responsive nanomaterials.

Peptide amphiphiles are known to form a variety of distinctive self-assembled nanostructures (including cylindrical nanofibers in hydrogels) dependent upon the solvent conditions. Using a novel coarse-grained model, large-scale molecular dynamics simulations are performed on a system of 800 peptide amphiphiles (sequence, palmitoyl-Val3Ala3Glu3) to elucidate kinetic mechanisms of molecular assembly as a function of the solvent conditions. The assembly process is found to occur via a multistep process with transient intermediates that ultimately leads to the stabilized nanostructures including open networks of β-sheets, cylindrical nanofibers, and elongated micelles. Different kinetic mechanisms are compared in terms of peptide secondary structures, solvent-accessible surface area, radius of gyration, relative shape anisotropy, intra/intermolecular interactions, and aggregate size dynamics to provide insightful information for the design of functional biomaterials.

Using a novel coarse-grained model, large-scale molecular dynamics simulations were performed to examine self-assembly of 800 peptide amphiphiles (sequence palmitoyl-V3A3E3). Under suitable physiological conditions, these molecules readily assemble into nanofibers leading to hydrogel construction as observed in experiments. Our simulations capture this spontaneous self-assembly process, including formation of secondary structure, to identify morphological transitions of distinctive nanostructures. As the hydrophobic interaction is increased, progression from open networks of secondary structures toward closed cylindrical nanostructures containing either β-sheets or random coils are observed. Moreover, temperature effects are also determined to play an important role in regulating formation of secondary structures within those nanostructures. These understandings of the molecular interactions involved and the role of environmental factors on hydrogel formation provide useful insight for development of innovative smart biomaterials for biomedical applications.

A novel coarse-grained model is developed to elucidate thermodynamics and kinetic mechanisms of DNA self-assembly. It accounts for sequence and solvent conditions to capture key experimental results such as sequence-dependent thermal property and salt-dependent persistence length of ssDNA and dsDNA. Moreover, constant-temperature simulations on two single strands of a homogeneous sequence show two main mechanisms of hybridization: a slow slithering mechanism and a one-order faster zippering mechanism. Furthermore, large-scale simulations at a high DNA strand concentration demonstrate that DNA self-assembly is a robust and enthalpically driven process in which the formation of double helices is deciphered to occur via multiple self-assembly pathways including the strand displacement mechanism. However, sequence plays an important role in shifting the majority of one pathway over the others and controlling size distribution of self-assembled aggregates. This study yields a complex picture on the role of sequence on programmable self-assembly and demonstrates a promising simulation tool that is suitable for studies in DNA nanotechnology.

Three-dimensional networks of nanofibers, which are formed through self-assembly of peptide amphiphiles, serve as a biomimetic hydrogel scaffold for tissue engineering. With an emphasis to improve hydrogel properties for cell-specific behavior, a better understanding between structural characteristics and physical properties of the macroscopic gel is sought. Large-scale molecular dynamics simulations were performed on two PA sequences with identical composition (palmitoyl-V 3 A 3 E 3 and palmitoyl-A 3 V 3 E 3 ) showing different self-assembly kinetic mechanisms. While both sequences yielded cylindrical nanofibers, these structures have contrasting internal arrangement with respect to the hydrophobic core; the former is continuous with predominately alkyl tails, whereas the latter is disjointed with interconnecting micelles. Two additional sequences (palmitoyl-V 6 E 3 and palmitoyl-A 6 E 3 ) were examined to determine the effects of a homogeneous β-sheet forming segment that is either strongly or mildly hydrophobic on self-assembly. Results from this study indicate that internal structural arrangement of nanofibers can provide a correlation with structural stability and mechanical behavior of hydrogel nanostructures.

Peptide amphiphiles (PA) offer the potential of incorporating biological function into synthetic materials for tissue engineering in regenerative medicine. These hybrid conjugates are known to undergo self-assembly starting from single molecules to nanofibers before turning into hydrogel scaffolds-such a process involves conformational changes in secondary structures of peptides. Therefore, insights on the ability of peptide amphiphiles to form secondary structure as single molecules are useful for understanding self-assembly behavior. We report here a molecular simulation study of peptide folding by two PA sequences, each contains an alkyl tail and short peptide segment. The alkyl tail is observed to play two opposing roles in modulating sequence-dependent folding kinetics and thermodynamics. On one hand, it restricts conformational freedom reducing the entropic cost of folding, which is thus promoted. On the other hand, it acts as an interaction site with nonpolar peptide residues, blocking the peptide from helix nucleation, which reduces folding.

Peptide amphiphiles self‐assemble into nanostructures as either cylindrical nanofibers or spherical micelles in response to specific physiological stimuli. Such morphological transition is captured by large‐scale molecular dynamics simulations in examining spontaneous selfassembly starting from random configurations. , the simulation study by Hung D. Nguyen and co‐workers can potentially aid the design and development of bio‐inspired materials for drug delivery, diagnostic medicine, tissue engineering, and regenerative medicine.