Permeation Properties of the Stereoregular Nylon-3 Analogue, Poly(α-hexyl β-l-aspartate)

From peptide-based material science to protein fibrils: discipline convergence in nanobiology

This paper illustrates the merits of convergence in nanobiology of two seemingly disparate fields, material science and computational biology. Traditionally, material science has been a discipline involving design and fabrication of synthetic polymers consisting of repeating units. Collaboration with synthetic organic chemists allowed design of new polymers, with a range of altered conformations. Yet, naturally occurring proteins are also materials. Their varied sequences and structures should enrich material science providing more complex shapes, scaffolds and chemical properties. For material scientists, the enhanced coverage of chemical space obtained by integrating proteins and synthetic organic chemistry through the introduction of non-natural residues allows a range of new useful potential applications.

Theoretical strategy to provide atomistic models of comblike polymers: A generation algorithm combined with configurational bias Monte Carlo

A computational strategy to model the amorphous phase of comblike polymers is presented. The strategy, denoted SuSi/CB (CB-configurational bias), combines the strength of an algorithm recently developed to generate reliable microstructures of dense amorphous polymers, which is based on a random search of energy minima, and configurational bias Monte Carlo method. The influence of different parameters used to define the characteristics of SuSi/CB on both the reliability of the generated structures and the computational effort has been examined in detail. Finally, we have modeled and characterized the supramolecular organization of poly(octadecyl acrylate) in the amorphous state.

EVEBAT: a fast strategy for the examination of the empty space in polymer matrices

A very efficient strategy to evaluate the "free volume" and the "unoccupied volume" in polymer matrices is proposed. The method, which has been denoted EVEBAT (Empty Volume Evaluation Based on Atom-Types), emerges from the concept of atom type, which is the basis of a force field. Accordingly, the numerical treatment is minimized by analyzing the atom types used to describe the polymer matrix, which are always a few, rather than all the explicit, atoms involved in it. The performance of the new method has been pointed out by a detailed comparison with the classical insertion algorithms.