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Scientific Report 2007-2009<br />
Condensed matter physics and biophysics<br />
C20. Coarse Grained Molecular Dynamics Simulations: application to<br />
proteins and colloids<br />
All atoms Molecular dynamics (MD) or Monte Carlo<br />
(MC) simulations of large systems, evolving on very long<br />
timescales, are very demanding in terms of computer resources.<br />
In these cases, it becomes important to develop<br />
coarse-grained (CG) models, i.e. a reduced representations<br />
of the interparticle interaction potential. Several<br />
systems in condensed matter physics and biophysics<br />
have been successfully modeled in this way. Protein folding<br />
and protein aggregation are often studied employing<br />
simplified CG. We have recently developed one of<br />
these models for the protein lysozime, to describe the<br />
clustering phenomenon which takes place in the absence<br />
of salt, as a result of a competition between hydrophobic<br />
attraction and screened electrostatic repulsion. CG<br />
models are also very relevant for testing state-of-the-art<br />
theoretical modeling, since they often allow for a oneto-one<br />
correspondence between the theoretical assumptions<br />
and the numerical realization. For example, the<br />
glass transition of rigid molecules where excluded volume<br />
interactions play a relevant role (e.g. lyotropic liquid<br />
crystals), can be conveniently modeled approximating<br />
their constituent particles as hard ellipsoids. We<br />
have investigate [1] the dynamic phase diagram of hard<br />
ellipsoids, employing event-driven MD, discovering, close<br />
to the isotropic-nematic transition clear indications of a<br />
new kind of glass transition, in agreement with recent<br />
theoretical predictions.<br />
CG models are also relevant in the investigation of<br />
soft-matter systems. Often, the interactions between<br />
colloidal particles can be modeled via an effective potential,<br />
by integrating out all solvent and internal degrees<br />
of freedom of the particles. One example is offered<br />
by star-polymers (SP), i.e. macromolecules containing a<br />
single branch point from which linear chains (arms) emanate.<br />
In [2], we <strong>report</strong>ed the observation of several glass<br />
states in mixtures of SPs, modeled as simple spheres interacting<br />
with a suitable soft potential (see Fig.1 (a)).<br />
Another interesting example is offered by the chemical<br />
gelation of epoxy resins, which we have modeled as a<br />
mixture of two rigid ellipsoids forming permanent bonds<br />
through localized interaction sites[3]. MD allows us to<br />
follow the bonding process and study the structure and<br />
connectivity of the system in time (details in Fig. 2).<br />
More recently, we have studied the phase diagram of the<br />
recently synthesized Janus particles[4], i.e. spherical particles<br />
characterized by a surface divided into two areas<br />
of different chemical composition. The calculated phase<br />
diagram is very peculiar, showing competition between<br />
critical fluctuations and micelle formation.<br />
Figure 2: (a) Coarse-grained model of resins DGEBA and<br />
DETA. (b) Snapshot of sol phase (c) Cluster size distributions<br />
at various bond probability p (symbols) and corresponding<br />
theoretical predictions (continous lines).<br />
Figure 1: (a) Coarse-grained model of a star polymer mixture,<br />
constituted by large and small particles. The kinetic<br />
phase diagram (in the plane density-asymmetry) obtained by<br />
experiments (b) is qualitatively reproduced with simulations<br />
(c). (d) Snapshots of typical cages around a fixed large star<br />
(along the line in panel (c)).<br />
References<br />
1. C. De Michele et al., Phys. Rev. Lett. 98, 265702 (2007).<br />
2. C. Mayer et al., Nature Materials 7, 780-784 (2008).<br />
3. S. Corezzi et al., Soft Matter 4, 1173-1177 (2008).<br />
4. F. Sciortino et al., Phys. Rev. Lett. 103, 237801 (2009).<br />
Authors<br />
C. De Michele 1 , C. Mayer 1 , F. Romano 1 , J. Russo 1 , F.<br />
Sciortino, P. Tartaglia, E. Zaccarelli 1,2<br />
http://soft.phys.uniroma1.it/<br />
<strong>Sapienza</strong> Università di Roma 73 Dipartimento di Fisica