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Interaction function

The biasing function is applied to spread the range of configurations sampled such that the trajectory contains configurations appropriate to both the initial and final states. For the creation or deletion of atoms a softcore interaction function may be used. The standard Lennard-Jones (LJ) function used to model van der Waals interactions between atoms is strongly repulsive at short distances and contains a singularity at r = 0. This precludes two atoms from occupying the same position. A so-called softcore potential in contrast approaches a finite value at short distances. This removes the sin-... [Pg.154]

Allen JW, Shanker G, Tan KH, Aschner M. 2002. The consequences of methyhnercury exposure on interactive functions between astrocytes and neurons. Neurotoxicology 23 755-759. [Pg.166]

Thus the alternative approach is to create enhancements (add-ons) to an ERP system that do not have their own persistent database and provide additional interactive functions, visualization and algorithmic processing of enhanced model data. The add-ons create a temporary local data storage (LiveCache) to effectively process the enhanced data. However, all data is stored persistently exclusively in the ERP system. This allows for the local LiveCache to use a mapping of the ERP data model that is structured in a way that is more suitable for APS purposes. Additionally the... [Pg.274]

Fig. 8. Representation of the interaction functions O and R in terms of equivalent sphere radii and Rj respectively. Both interaction functions depend on the segment density but small solvent molecules can easier penetrate into a coil (left) than two of such coils penetrate into each other (right)... Fig. 8. Representation of the interaction functions O and R in terms of equivalent sphere radii and Rj respectively. Both interaction functions depend on the segment density but small solvent molecules can easier penetrate into a coil (left) than two of such coils penetrate into each other (right)...
Histone methyltransferases may associate or act cooperatively with either HATs or HDACs. In fission yeast the H3 Lys-14 deacetylase Clr3 interacts functionally with H3 Lys-9 methyltransferase Clr4. Clr4 methylates Lys-9 of H3, a process facilitated by Rikl, resulting in the recruitment of Swi6 and heterochromatin assembly [157,221]. In Drosophila SU(VAR)3-9 H3 Lys-9 methyltransferase is in complex with HDACl [222]. Thus, HDACl would deacetylate acetylated Lys-9 allowing methylation by SU(VAR)3-9 at this site to occur. CBP, a potent HAT, is associated with a histone methyltransferase that methylated H3 at Lys-9 and to a lesser extent Lys-4. H3 methylation at Lys-9 did not alter the HAT activity of CBP, and vice versa acetylation of H3 (predominantly Lys-14) did not affect the associated histone methyltransferase activity [223]. [Pg.226]

The Gordon-Kim interaction functions may be compared with empirical potential functions derived by energy- or net-force minimization methods using known crystal structures. The O—O Gordon-Kim potentials are more repulsive, as illustrated in Fig. 9.2. Spackman points out that the empirical potentials likely contain a significant attractive component because of the inadequate allowance for electrostatic interactions in their derivation. This attractive component is included in the electrostatic interaction in the density functional model. [Pg.205]

The described examples, where more than one carbohydrate is attached to a synthetic framework, foreshadow the advances that we should expect in research involving multivalent protein-carbohydrate interactions. Functionalization of multivalent... [Pg.353]

For many practically important interaction functions, the Fourier coefficients in Eq. (D.9) have finite analytic forms, for example, the Lennard-Jones potential, the Yukawa potential, the Morse potential, and functions that can be derived from those functions. For a power-law interaction... [Pg.355]

A base can be contacted by more than one amino acid residue. Furthermore, there are many examples of one amino acid residue, e.g. Arg, contacting two sequential bases. This type of interaction functions as a clip and maintains a spatially defined arrangement. [Pg.15]

There are four basic mechanisms underlying interactions functional, chemical, dispositional, and receptor. [Pg.15]

Thermodynamic descriptions of polymer systems are usually based on a rigid-lattice model published in 1941 independently by Staverman and Van Santen, Huggins and Flory where the symbol x(T) is used to express the binary interaction function [16]. Once the interaction parameter is known we can calculate the liquid liquid phase behaviour. [Pg.578]

In many production routes, and also during processing, polymer systems have to undergo pressure. Changes in the volume of a system by compression or expansion, however, cannot be dealt with in rigid-lattice-type models. Thus, non-combinatorial free volume ( equation of state ) contributions to AG have been advanced [23 - 29]. Detailed interaction functions have been suggested (but all of them are based on adjustable parameters, for blends, e.g., Mean-field lattice gas [30], SAFT [31], specific interactions [32]), and have been succesfully applied, for example, by Kennis et al. [33]. [Pg.579]

Polymer systems containing copolymers call for a further extension of the thermodynamic model. The interaction function for statistical copolymers was originally derived by Simha and Branson [34], discussed by Stockmayer [35] et al., and experimentally verified by Glbckner and Lohmann [36]. [Pg.579]

The miscibility gap will be described more accurately when a meanfield lattice gas approach is choosen [30], The mathematical form of the interaction function in all the above models may bring about a negative value for the effective interaction parameter, g, while all binary interactions by themselves are positive. The complexity of copolymer phase behaviour can be attributed to this peculiarity, like the miscibility-windows in mixtures of a copolymer with another homopolymer [37], or with a second copolymer [38,39]. [Pg.579]

Summary. The electron density model of substituent-ring interactions functions better than the MO model, which is not surprising since the electron density covers all MO effects while any MO model will simplify orbital interactions by selecting just a few important... [Pg.95]

Metabolic chemistry is characterized by functionality. Each reaction is important because of its participation in a sequence of reactions, and each sequence interacts functionally with other sequences. [Pg.240]


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See also in sourсe #XX -- [ Pg.238 , Pg.242 ]

See also in sourсe #XX -- [ Pg.29 ]

See also in sourсe #XX -- [ Pg.173 ]




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Functional interactions

Interactive function

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