Multiscale computational simulation of pollutant behavior at water interfaces

The investigation of pollutant behavior at water interfaces is critical to understand pollution in aquatic systems. Computational methods allow us to overcome the limitations of experimental analysis, delivering valuable insights into the chemical mechanisms and structural characteristics of pollutant behavior at interfaces across a range of scales, from microscopic to mesoscopic. Quantum mechanics, all-atom molecular dynamics simulations, coarse-grained molecular dynamics simulations, and dissipative particle dynamics simulations represent diverse molecular interaction calculation methods that can effectively model pollutant behavior at environmental interfaces from atomic to mesoscopic scales. These methods provide a rich variety of information on pollutant interactions with water surfaces. This review synthesizes the advancements in applying typical computational methods to the formation, adsorption, binding, and catalytic conversion of pollutants at water interfaces. By drawing on recent advancements, we critically examine the current challenges and offer our perspective on future directions. This review seeks to advance our understanding of computational techniques for elucidating pollutant behavior at water interfaces, a critical aspect of water research.

Macromolecular assembly and membrane activity of antimicrobial D,L-α-Cyclic peptides

Antimicrobial peptides are viewed as a promising alternative to conventional antibiotics, as their activity through membrane targeting makes them less prone to resistance development. Among them, antimicrobial D,L-α-cyclic peptides (CPs) have been proposed as an alternative, specially due to their cyclic nature and to the presence of D-α-amino acids that increases their resistance to proteases. In present work, second generation D,L-α-cyclic peptides with proven antimicrobial activity are shown to form complex macromolecular assemblies in the presence of membranes. We addressed the CPs:membrane interactions through a combination of experimental techniques (DSC and ATR-FTIR) with coarse-grained molecular dynamics (CG-MD) simulations, aiming at understanding their interactions, macromolecular assemblies and eventually unveil their mechanism of action. DSC shows that the interaction depends heavily on the negatively charge content of the membrane and on lipid/peptide ratio, suggesting different mechanisms for the different peptides and lipid systems. CG-MD proved that CPs can self-assemble at the lipid surface as nanotubes or micellar aggregates, depending on the peptide, in agreement with ATR-FTIR results. Finally, our results shed light into possible mechanisms of action of the peptides with pending hydrocarbon tail, namely membrane extensive segregation and/or membrane disintegration through the formation of disk-like lipid/peptide aggregates.

Microphase separation of stimuli-responsive interpenetrating network microgels investigated by scattering methods

Polymer stimuli-responsive microgels find their use in various applications. The knowledge of its internal structure is of importance for further improvement and expanding the scope. Interpenetrating network (IPN) microgels may possess a remarkable feature of strongly non-uniform inner architecture, even microphase separation, in conditions of a selective solvent. In this research, we, for the first time, use a combination of static light scattering (SLS) and small-angle X-ray scattering (SAXS) techniques to collect the structure factors of aqueous dispersions of poly(N-isopropylacrylamide)-polyacrylic acid IPN microgels on the broad scale ofqvalues. We study the influence of solvent quality on microgel conformations and show that in a selective solvent, such a system undergoes microphase separation: the sub-network in a poor solvent conditions forms dense small aggregates inside the large swollen sub-network in a good solvent. We propose the microstructured sphere model for the IPN microgel structure factor interpretation and perform additional analysis and verification through coarse-grained molecular dynamics computer simulations.

Molecular dynamics simulation of siRNA loading into a nanoemulsion as a potential carrier

Nanoemulsions are used as drug delivery carriers for different types of systems. Nanoemulsions can enhance solubilization property of poorly water-soluble drugs and increase the drug loading. In this study, we used a nanoemulsion composed of benzalkonium chloride as surfactant, cyclohexane as oil phase, and ethanol as co-surfactant in water, to load small interfering RNA (siRNA) molecule. The system was investigated by three coarse-grained molecular dynamics simulations. The results showed that siRNA attached to benzalkonium chloride on the surface of the nanoemulsion and the oil beads were located in the hydrophobic core of the nanoemulsion, which made its size larger. The ethanol beads distributed throughout the system and did not enter to the hydrophilic shell of the nanoemulsion. The nanoemulsion structure was a compact prolate ellipsoid shape, before and after carrying the siRNA. The average value of radius of gyration of the nanoemulsion was 1.68 nm before and after joining siRNA and the average value of physical radius was 2.17 nm.

The acidic tail of HMGB1 regulates its secondary structure and conformational flexibility: A circular dichroism and molecular dynamics simulation study

High mobility group box 1 (HMGB1) is a damage-associated molecular pattern (DAMP) molecule that triggers the progression of several pro-inflammatory diseases such as diabetes, Alzheimer's disease and cancer, by inducing signals upon interaction with the receptors such as the receptor for advanced glycation end-products (RAGE) and toll-like receptors (TLRs). The acidic C-terminal tail of HMGB1 is an intrinsically disordered region of the protein which is known to determine the interaction of HMGB1 to DNA and histones. This study characterizes its structural properties using a combination of circular dichroism (CD) and molecular dynamics (MD) simulations. The full-length and tail-less forms of HMGB1 were compared to rationalise the role of the acidic tail in maintaining the stability of the entire structure of HMGB1 in atomistic detail. Consistent with experimental data, the acidic tail was predicted to adopt an extended conformation that allows it to make a range of hydrogen-bonding and electrostatic interactions with the box-like domains that stabilize the overall structure of HMGB1. Absence of the acidic tail was predicted to increase structural fluctuations of all amino acids, leading to changes in secondary structure from α-helical to more hydrophilic turns along with increased exposure of multiple amino acids to the surrounding solvent. These structural changes reveal the intrinsic conformational dynamics of HMGB1 that are likely to affect the accessibility of its receptors.