No abstract

SUMMARY Activation of inositol-requiring enzyme (IRE1α) is an indispensable step in remedying the cellular stress associated with lipid perturbation in the endoplasmic reticulum (ER) membrane. IRE1α is a single-spanning ER transmembrane protein possessing both kinase and endonuclease functions, and its activation can be fully achieved through the dimerization and/or oligomerization process. How IRE1α senses membrane lipid saturation remains largely unresolved. Using both computational and experimental tools, we systematically investigated the dimerization process of the transmembrane domain (TMD) of IRE1α and found that, with help of the serine 450 residue, the conserved tryptophan 457 residue buttresses the core dimerization interface of IRE1α-TMD. BiFC (bimolecular fluorescence complementation) experiments revealed that mutation on these residues abolished the saturated fatty acid-induced dimerization in the ER membrane and subsequently inactivated IRE1α activity in vivo. Therefore, our results suggest that the structural elements of IRE1α-TMD serve as a key sensor that detects membrane aberrancy.

In-silico design of polymeric biomaterials requires molecular dynamics (MD) simulations that retain essential atomistic/molecular details (e.g., explicit water around the biofunctional macromolecule) while simultaneously achieving large length and time scales pertinent to macroscale function. Such large-scale atomistically detailed macromolecular MD simulations with explicit solvent representation are computationally expensive. One way to overcome this limitation is to use an adaptive resolution scheme (AdResS) in which the explicit solvent molecules dynamically adopt either atomistic or coarse-grained resolution depending on their location (e.g., near or far from the macromolecule) in the system. In this study we present the feasibility and the limitations of AdResS methodology for studying polyethylene glycol (PEG) in adaptive resolution water, for varying PEG length and architecture. We first validate the AdResS methodology for such systems, by comparing PEG and solvent structure with that from all-atom simulations. We elucidate the role of the atomistic zone size and the need for calculating thermodynamic force correction within this AdResS approach to correctly reproduce the structure of PEG and water. Lastly, by varying the PEG length and architecture, we study the hydration of PEG, and the effect of PEG architectures on the structural properties of water. Changing the architecture of PEG from linear to multiarm star, we observe reduction in the solvent accessible surface area of the PEG, and an increase in the order of water molecules in the hydration shells.

We propose the design for a nanoparticle carrier that combines three existing motifs into a single construct: a liposome is stabilized by anchoring it to an enclosed solid core via extended polymeric tethers that are chemically grafted to the core and physisorb into the surrounding lipid membrane. Such a design would exhibit several enticing properties, among them: (i) the anchoring stabilizes the liposome against a variety of external stresses, while preserving an aqueous compartment between core and membrane; (ii) the interplay of design parameters such as polymer length or grafting density enforces strong constraints on nanoparticle size and hence ensures a high degree of uniformity; and (iii) the physical and chemical characteristics of the individual constituents equip the construct with numerous functionalities that can be exploited in many ways. However, navigating the large parameter space requires a sound prior understanding for how various design features work together, and how this impacts potential pathways for synthesizing and assembling these nanoparticles. In this paper, we examine these connections in detail, using both soft matter theory and computer simulations at all levels of resolution. We thereby derive strong constraints on the experimentally relevant parameter space, and also propose potential equilibrium and nonequilibrium pathways for nanoparticle assembly.

Synergistic approach of experiments and simulations to design multifunctional collagen mimetic peptides relevant for the creation of nanostructured soft materials.

The Cambridge Structural Database (CSD) is the world's largest and most comprehensive collection of organic, organometallic, and metal-organic crystal structure information. Analyses using the data have wide impact across the chemical sciences in allowing understanding of structural preferences. In this short review, we illustrate the more common methods by which CSD data influence molecular design. We show how more data could lead to more refined insights into the future using a simple example of trifluoromethylphenyl fragments, highlighting how with sufficient data one can build a reasonable model of geometric change in a chemical fragment with torsional rotation, and show some recent examples where the CSD has been used in conjunction with other methods to provide design ideas and more computationally tractable workflows for derivation of useful insights into structural design.

Recent seminal investigations have suggested that the basic structural motif of amyloid fibers may be constituted by a tight association of two facing beta-sheets (steric zipper). Although this model has been derived from crystal structures of small peptide models, several theoretical investigations, essentially focused on steric zipper interface containing large polar and/or aromatic side chains, have confirmed the stability of this motif in a crystal-free context. To analyze the general validity of these findings, we carried out molecular dynamics (MD) simulations on aggregates stabilized by steric zipper interfaces made also of small or hydrophobic residues. In particular, we here characterized assemblies formed by the peptides SSTSAA and VQIVYK, whose structures have been recently solved at high resolution. In contrast to previous results obtained for polar/aromatic aggregates of the same size and with similar interface area, steric zipper assemblies composed of a pair of 10-stranded beta-sheets show high fluctuations and significant distortions in the simulation timescales (40-60 ns). Taking into account the crystal packing, the effect of the addition of an extra sheet to the assemblies was also evaluated. The MD results indicate that this addition does not provide extra-stabilization to the pair of sheet models. Although present data do not preclude the possibility that the steric zipper association identified in the crystal structure is the basic motif of SSTSAA and VQIVYK fibers, our findings highlight the importance of the nature of residues directly involved in the motif. Indeed, polar and aromatic residues that may form intrasheet and intersheet interactions likely provide a strong contribution to the steric zipper motif stability. Along this line, assemblies endowed with hydrophobic residues presumably require larger interfaces. In line with this suggestion, MD analysis of the HET-s(218-289) prion models composed of a similar number of strands shows that the assembly is endowed with a remarkable stability.

Stimuli-responsive biomaterials are used to facilitate drug and gene delivery by shielding the drug/gene during circulation times and selectively releasing the cargo at the desired target. Within stimuli-responsive materials, pH-responsive materials are exploited for delivery to specific organs, intracellular compartments, cancer cells, site of inflammation or infection as those sites are characterized by pH that is different from the blood pH. In this paper we use molecular dynamics (MD) simulations to design such pH-responsive biomaterials where the balance between the various intermolecular interactions (e.g., electrostatics, van der Waals) within the biomaterials allow biofunctional molecules to be reversibly shielded and exposed to the environment with change in pH. In our model the shielding aspect is imparted by a polyethylene glycol (PEG) brush and the pH-responsive component is a PEG-tethered oligopeptide that undergoes changes in conformations via protonation of residues upon changes in pH. Starting with a PEG-tethered peptide in a monodisperse short PEG brush, we first vary the composition and sequence of histidine (H), lysine (K), and glutamate (E) along the oligopeptide sequence to find the design parameters that maximize the shielding and exposure of the oligopeptide at pH ~ 7.0 and pH < 7.0, respectively. Then, we probe the effect of the PEG brush on the conformations of the oligopeptides by simulating PEG-tethered peptide in a bimodal PEG brush containing short PEG and long PEG chains. We characterize the intermolecular interactions involving the PEG, peptide, and solvent that influence the shielded and exposed conformations of the oligopeptides at the two different pHs. In a short monodisperse PEG brush, with a longer PEG-tethered peptide containing large blocks of histidines that undergo change in protonation state as a response to pH change, placed between a protonated lysine and deprotonated glutamate, the PEG brush exhibits maximum shielding and exposure with pH change. This change from shielded to exposed state is driven by electrostatic repulsion upon H protonation. The presence of long PEG chains in a bimodal PEG brush leads to dominating PEG–peptide attractive interactions that reduces the contrast in shielded and exposed conformations of the PEG-tethered peptide upon protonation of histidines.