Classifying soft self-assembled materials via unsupervised machine learning of defects.

Unlike molecular crystals, soft self-assembled fibers, micelles, vesicles, etc., exhibit a certain order in the arrangement of their constitutive monomers but also high structural dynamicity and variability. Defects and disordered local domains that continuously form-and-repair in their structures impart to such materials unique adaptive and dynamical properties, which make them, e.

Automatic multi-objective optimization of coarse-grained lipid force fields using SwarmCG.

The development of coarse-grained (CG) molecular models typically requires a time-consuming iterative tuning of parameters in order to have the approximated CG models behave correctly and consistently with, e.g., available higher-resolution simulation data and/or experimental observables.

A Data-Driven Dimensionality Reduction Approach to Compare and Classify Lipid Force Fields.

Molecular dynamics simulations of all-atom and coarse-grained lipid bilayer models are increasingly used to obtain useful insights for understanding the structural dynamics of these assemblies. In this context, one crucial point concerns the comparison of the performance and accuracy of classical force fields (FFs), which sometimes remains elusive. To date, the assessments performed on different classical potentials are mostly based on the comparison with experimental observables, which typically regard average properties.

: Automatic Parametrization of Bonded Terms in MARTINI-Based Coarse-Grained Models of Simple to Complex Molecules Fuzzy Self-Tuning Particle Swarm Optimization.

We present , a versatile software for the automatic iterative parametrization of bonded parameters in coarse-grained (CG) models, ideal in combination with popular CG force fields such as MARTINI. By coupling fuzzy self-tuning particle swarm optimization to Boltzmann inversion, performs accurate bottom-up parametrization of bonded terms in CG models composed of up to 200 pseudo atoms within 4-24 h on standard desktop machines, using default settings. The software benefits from a user-friendly interface and two different usage modes (default and advanced).

Correction: Facile synthesis of stable, water soluble, dendron-coated gold nanoparticles.

Correction for 'Facile synthesis of stable, water soluble, dendron-coated gold nanoparticles' by Alan E. Enciso, et al., Nanoscale, 2017, 9, 3128-3132.

Site accessibility tailors DNA cleavage by restriction enzymes in DNA confined monolayers.

Density-tunable nanografted monolayers (NAMs) of short oligonucleotide sequences on gold surfaces show novel properties that make them suitable for advanced biosensing applications, and in particular to study the effects of crowding and confinement on biomolecular interactions. Here, combining atomic force microscopy nanolithography, topography measurements and coarse-grained molecular dynamics simulations, we investigated restriction enzyme reaction mechanisms within confined DNA brushes highlighting the role played by the DNA sequence conformation and restriction site position along the chain, respectively, in determining the accessibility of the enzyme, and its consequent cleavage efficiency.

Facile synthesis of stable, water soluble, dendron-coated gold nanoparticles.

Upon reduction with sodium borohydride, diazonium tetrachloroaurate salts of triazine dendrons yield dendron-coated gold nanoparticles connected by a gold-carbon bond. These robust nanoparticles are stable in water and toluene solutions for longer than one year and present surface groups that can be reacted to change surface chemistry and manipulate solubility. Molecular modeling was used to provide insight on the hydration of the nanoparticles and their observed solubilties.

Pressure-induced conformation transition of o-phenylene solvated in bulk hydrocarbons.

The conformational behavior of o-phenylene 8-mers and 10-mers solvated in a series of linear alkane solvents by means of classical molecular dynamics and first-principles calculations was studied. Irrespective of the solvent used, we find that at ambient pressure the molecule sits in the well-defined close-helical arrangement previously observed in light polar solvents. However, for pressures greater than 50 atm, and for tetradecane or larger solvent molecules, our simulations predict that o-phenylene undergoes a conformational transition to an uncoiled, extended geometry with a 35% longer head-to-tail distance and a much larger overlap between its lateral aromatic ring groups.

Structural and energetic basis for hybridization limits in high-density DNA monolayers.

High-density monolayers (HDMs) of single-strand (ss) DNA are important nanoscale platforms for the fabrication of sensors and for mechanistic studies of enzymes on surfaces. Such systems can be used, for example, to monitor gene expression, and for the construction of more complex nanodevices via selective hybridization with the complementary oligos dissolved in solution. In this framework, controlling HDM hybridization is essential to control the final properties.

Generation-dependent molecular recognition controls self-assembly in supramolecular dendron-virus complexes.

In this work molecular dynamics simulation identifies a clear link between the dendron-virus multivalent molecular recognition and the nature of the consequent self-assembly. Data demonstrate how a weak hydrophobic association is transformed in an electrostatic self-assembly, orders of magnitude stronger, depending on the dendron generation used to assemble the viruses. This opens a new frontier in the engineering of hierarchical self-assemblies, potentially enabling the control of the supramolecular properties by acting at the single-molecule level.