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Self-avoiding

The parameter /r tunes the stiffness of the potential. It is chosen such that the repulsive part of the Leimard-Jones potential makes a crossing of bonds highly improbable (e.g., k= 30). This off-lattice model has a rather realistic equation of state and reproduces many experimental features of polymer solutions. Due to the attractive interactions the model exhibits a liquid-vapour coexistence, and an isolated chain undergoes a transition from a self-avoiding walk at high temperatures to a collapsed globule at low temperatures. Since all interactions are continuous, the model is tractable by Monte Carlo simulations as well as by molecular dynamics. Generalizations of the Leimard-Jones potential to anisotropic pair interactions are available e.g., the Gay-Beme potential [29]. This latter potential has been employed to study non-spherical particles that possibly fomi liquid crystalline phases. [Pg.2366]

Polymer chains at low concentrations in good solvents adopt more expanded confonnations tlian ideal Gaussian chains because of tire excluded-volume effects. A suitable description of expanded chains in a good solvent is provided by tire self-avoiding random walk model. Flory 1151 showed, using a mean field approximation, that tire root mean square of tire end-to-end distance of an expanded chain scales as... [Pg.2519]

Figure C2.5.2. Scaling of the number of MBS C(MES) (squares) is shown for the hydrophobic parameter = -0.1 and A = 0.6. Data were obtained for the cubic lattice. The pairs of squares for each represent the quenched averages for different samples of 30 sequences. The number of compact stmctures C(CS) and self-avoiding confonnations C(SAW) are also displayed to underscore the dramatic difference of scaling behaviour of C(MES) and C(CS) (or C(SAW)). It is clear that C(MES) remains practically flat, i.e. it grows no faster than In N. Figure C2.5.2. Scaling of the number of MBS C(MES) (squares) is shown for the hydrophobic parameter = -0.1 and A = 0.6. Data were obtained for the cubic lattice. The pairs of squares for each represent the quenched averages for different samples of 30 sequences. The number of compact stmctures C(CS) and self-avoiding confonnations C(SAW) are also displayed to underscore the dramatic difference of scaling behaviour of C(MES) and C(CS) (or C(SAW)). It is clear that C(MES) remains practically flat, i.e. it grows no faster than In N.
The basic features of folding can be understood in tenns of two fundamental equilibrium temperatures that detennine tire phases of tire system [7]. At sufficiently high temperatures (JcT greater tlian all tire attractive interactions) tire shape of tire polypeptide chain can be described as a random coil and hence its behaviour is tire same as a self-avoiding walk. As tire temperature is lowered one expects a transition at7 = Tq to a compact phase. This transition is very much in tire spirit of tire collapse transition familiar in tire theory of homopolymers [10]. The number of compact... [Pg.2650]

Simplified models for proteins are being used to predict their stmcture and the folding process. One is the lattice model where proteins are represented as self-avoiding flexible chains on lattices, and the lattice sites are occupied by the different residues (29). When only hydrophobic interactions are considered and the residues are either hydrophobic or hydrophilic, simulations have shown that, as in proteins, the stmctures with optimum energy are compact and few in number. An additional component, hydrogen bonding, has to be invoked to obtain stmctures similar to the secondary stmctures observed in nature (30). [Pg.215]

In many cases, it is also helpful to have the path repel itself so that the transition pathway is self-avoiding. An acmal dynamic trajectory may oscillate about a minimum energy configuration prior to an activated transition. In the computed restrained, selfavoiding path, there will be no clusters of intermediates isolated in potential energy minima and no loops or redundant segments. The self-avoidance restraint reduces the wasted effort in the search for a characteristic reaction pathway. The constraints and restraints are essential components of the computational protocol. [Pg.214]

A. Static Methods self-avoiding random walks... [Pg.555]

A. Static Methods Self-avoiding Random Walks... [Pg.559]

The simplest model of polymers comprises random and self-avoiding walks on lattices [11,45,46]. These models are used in analytical studies [2,4], in particular in the numerical implementation of the self-consistent field theory [4] and in studies of adsorption of polymers [35,47-50] and melts confined between walls [24,51,52]. [Pg.559]

Let us consider a simple self-avoiding walk (SAW) on a lattice. The net interaction of solvent-solvent, chain-solvent and chain-chain is summarized in the excluded volume between the monomers. The empty lattice sites then represent the solvent. In order to fulfill the excluded volume requirement each lattice site can be occupied only once. Since this is the only requirement, each available conformation of an A-step walk has the same probability. If we fix the first step, then each new step is taken with probability q— 1), where q is the coordination number of the lattice ( = 4 for a square lattice, = 6 for a simple cubic lattice, etc.). [Pg.559]

H. Meirovitch, S. Livne. II. Critical behavior of single self-avoiding walks. J Chem Phys 4507 515, 1988. [Pg.626]

N. Madras, A. D. Sokal. The pivot algorithm A highly efficient Monte Carlo method for the self-avoiding walk. J Stat Phys 50 109, 1988. [Pg.627]

A. B. Harris. Self-avoiding walks on random lattices. Z Phys B 49 347-349, 1983. [Pg.628]

A second approach [7] allows for the effects of excluded volume correlations and self-avoidance by use of scaling arguments. In this picture, the layer is viewed... [Pg.36]

For a self-avoiding walk (SAW) the coil end-to-end distance, R, scales with,... [Pg.127]

The large-scale structure of polymer chains in a good solvent is that of a self-avoiding random walk (SAW), but in melts it is that of a random walk (RW).11 The large-scale structure of these mathematical models, however, is... [Pg.11]

Conformation and Deformation of Linear Macromolecules in Concentrated Solutions and Melts in the Self-Avoiding Random Walks Statistics... [Pg.17]

Self-avoiding random walks (SARW) statistics has been proposed [1] for single that is for non-interacting between themselves ideal polymeric chains (free-articulated Kuhn s chains [2]) into ideal solvents, in which the all-possible configurations of the polymeric chain are energetically equal. From this statistics follows, that under the absence of external forces the conformation of a polymeric chain takes the shape of the Flory ball, the most verisimilar radius Rf of which is described by known expression [3, 4]... [Pg.18]

Condition of the self-avoiding RW trajectories absence on the d-dimensional lattice demands the circumstance at which more than one link of the chain can not be stood in every cell. Links of the chain are inseparable they cannot be divided one from another and located into the cells in random order. Thereby, number of different methods of mN differing links location per Z identical cells under condition that in every cell more than one link of the chain cannot be stood is equal to Z / (Z-mN) . [Pg.19]

Thereby, F represents by itself a free energy of random walks independent on the conformational state of a chain F(x) brings a positive contribution into F and the sense of this consists in a fact that the terms F(x) and S(x) represent the limitations imposed on the trajectories of random walk by request of the self-avoiding absence. These limitations form the self-organization effect of the polymeric chain the conformation of polymeric chain is the statistical form of its self-organization. [Pg.23]


See other pages where Self-avoiding is mentioned: [Pg.2365]    [Pg.2519]    [Pg.2647]    [Pg.2647]    [Pg.2647]    [Pg.442]    [Pg.443]    [Pg.535]    [Pg.566]    [Pg.376]    [Pg.521]    [Pg.532]    [Pg.560]    [Pg.628]    [Pg.669]    [Pg.342]    [Pg.89]    [Pg.95]    [Pg.116]    [Pg.146]    [Pg.127]    [Pg.127]    [Pg.259]    [Pg.260]    [Pg.23]    [Pg.12]    [Pg.17]   


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Chain self-avoiding

Number of self-avoiding chains on a lattice

Numerical data on self-avoiding walks

Numerical methods for the self-avoiding walk

Properties of self-avoiding walks

Random self-avoiding

Random walk self-avoiding

Self-assembly, avoidance

Self-avoiding interaction

Self-avoiding limit

Self-avoiding loops

Self-avoiding random walk , lead

Self-avoiding spiral chains

Self-avoiding walk

Self-avoiding walk (continued

Self-avoiding walk chemical potential

Self-avoiding walk model

Self-condensation, avoiding

Sheet self-avoiding

The self-avoiding walk (SAW)

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