Hydrodynamic study of flexibility in immunoglobulin igG1 using Brownian dynamics and the Monte Carlo simulations of a simple model

Biopolymers ◽  
1990 ◽  
Vol 30 (5-6) ◽  
pp. 547-554 ◽  
Author(s):  
F. G. Díaz ◽  
A. Iniesta ◽  
J. García De La Torre
1998 ◽  
Vol 109 (14) ◽  
pp. 6051-6062 ◽  
Author(s):  
M. T. M. Koper ◽  
A. P. J. Jansen ◽  
R. A. van Santen ◽  
J. J. Lukkien ◽  
P. A. J. Hilbers

Soft Matter ◽  
2021 ◽  
Author(s):  
James Munro Polson ◽  
Desiree Rehel

Motivated by recent nanofluidics experiments, we use Brownian dynamics and Monte Carlo simulations to study the conformation, organization and dynamics of two polymer chains confined to a single box-like cavity....


1990 ◽  
Vol 04 (11n12) ◽  
pp. 1763-1808 ◽  
Author(s):  
W. JANKE

The statistical mechanics of fluctuating surfaces plays an important role in a variety of physical systems, ranging from biological membranes to world sheets of strings in theories of fundamental interactions. In many applications it is a good approximation to assume that the surfaces possess no tension. Their statistical properties are then governed by curvature energies only, which allow for gigantic out-of-plane undulations. These fluctuations are the “entropic” origin of long-range repulsive forces in layered surface systems. Theoretical estimates of these forces for simple model surfaces are surveyed and compared with recent Monte Carlo simulations.


2006 ◽  
Vol 21 (supp01) ◽  
pp. 55-59 ◽  
Author(s):  
J. ALVAREZ-MUÑIZ ◽  
E. MARQUES ◽  
R. A. VAZQUEZ ◽  
E. ZAS

By means of GEANT4-based Monte Carlo simulations, we have studied the frequency and angular behavior of Cherenkov radio pulses originated by the excess charge in electromagnetic (EM) showers in different dense media. We have developed a simple model to relate the main characteristics of the electric field spectrum to the longitudinal and lateral development of the EM showers. Using this model the electric field spectrum is shown to have a scaling behavior with a number of medium parameters. We explore the validity of our model by comparing its predictions against full Monte Carlo simulations.


2002 ◽  
Vol 13 (01) ◽  
pp. 115-123 ◽  
Author(s):  
K. SZNAJD-WERON ◽  
R. WERON

A simple Ising spin model, which can describe the mechanism of price formation in financial markets is proposed. In contrast to other agent-based models, the influence does not flow inward from the surrounding neighbors to the center site, but spreads outward from the center to the neighbors. The model thus describes the spread of opinions among traders. It is shown via standard Monte Carlo simulations that very simple rules lead to dynamics that duplicate those of asset prices.


1998 ◽  
Vol 09 (04) ◽  
pp. 633-641 ◽  
Author(s):  
Julia Hoffmann ◽  
Andrzej Pekalski

We propose a simple model describing the dynamics of a system of two populations — more numerous natives and less numerous immigrants. The immigrants' birth rate is higher than that of the natives. Several modifications of this model taking into account changes of the birth rates due to external factors and/or possibility of contacts between the populations, are also introduced. The model is studied within two approaches — by solving a set of differential equations and through a Monte Carlo simulations. We show that the question of which population will eventually dominate depends on such factors as the probability of producing offsprings of mixed origin, assimilation of the immigrants, the ratio of the birth rates, initial numbers of the populations and the average age of an individual. In all, but two extreme cases, both populations will survive.


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