Proceedings of the National Academy of Sciences…
13 February 2001
TLDR
The origin of motion lies in the interplay between changes in configurational entropy and intermolecular energetics induced by specific biomolecular interactions, and by controlling entropy change during DNA hybridization, the direction of cantilever motion can be manipulated.
It is argued that self-assembly of probe molecules on the cantilever surface must be carefully controlled and characterized for the realization of microdevices for pathogen detection that rely on nanomechanical forces generated by molecular recognition.
A class of models with which the assembly of particles into T1 capsidlike objects using Newtonian dynamics is simulated, allowing for statistically meaningful conclusions about capsid assembly processes.
The capabilities and limitations of approaches ranging from equilibrium continuum theories to molecular dynamics simulations are discussed, and some of the important conclusions about virus assembly that have resulted from modeling efforts are given.
By tracking thousands of defects over centimetre-scale distances in microtubule-based active nematics, this work identifies a non-equilibrium phase characterized by a system-spanning orientational order of defects that persists over hours despite defect lifetimes of only seconds.
This work performs Brownian dynamics on a coarse-grained model that describes the dynamics of icosahedral capsid assembly around a flexible polymer and identifies several mechanisms by which the polymer plays an active role in its encapsulation, including cooperative polymer–protein motions.
A statistical theory for the dynamics of non-aligning, non-interacting self-propelled particles confined in a convex box in two dimensions finds that when the size of the box is small compared to the persistence length of a particle's trajectory, the steady-state density is zero in the bulk and proportional to the local curvature on the boundary.
Physical review. E, Statistical, nonlinear, and…
13 March 2013
TLDR
A kinetic model is developed for the system's steady-state dynamics whose solution captures the main features of the phase behavior and the varied kinetics of phase separation, which range from the familiar nucleation and growth of clusters to the complex coarsening of active particle gels.