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Parameter molecular correlations

One of the key parameters for correlating molecular structure and chemical properties with bioavailability has been transcorneal flux or, alternatively, the corneal permeability coefficient. The epithelium has been modeled as a lipid barrier (possibly with a limited number of aqueous pores that, for this physical model, serve as the equivalent of the extracellular space in a more physiological description) and the stroma as an aqueous barrier (Fig. 11). The endothelium is very thin and porous compared with the epithelium [189] and often has been ignored in the analysis, although mathematically it can be included as part of the lipid barrier. Diffusion through bilayer membranes of various structures has been modeled for some time [202] and adapted to ophthalmic applications more recently [203,204]. For a series of molecules of similar size, it was shown that the permeability increases with octa-nol/water distribution (or partition) coefficient until a plateau is reached. Modeling of this type of data has led to the earlier statement that drugs need to be both... [Pg.441]

A second type of ternary electrolyte systems is solvent -supercritical molecular solute - salt systems. The concentration of supercritical molecular solutes in these systems is generally very low. Therefore, the salting out effects are essentially effects of the presence of salts on the unsymmetric activity coefficient of molecular solutes at infinite dilution. The interaction parameters for NaCl-C02 binary pair and KCI-CO2 binary pair are shown in Table 8. Water-electrolyte binary parameters were obtained from Table 1. Water-carbon dioxide binary parameters were correlated assuming dissociation of carbon dioxide in water is negligible. It is interesting to note that the Setschenow equation fits only approximately these two systems (Yasunishi and Yoshida, (24)). [Pg.85]

The major reasons for using intrinsic fluorescence and phosphorescence to study conformation are that these spectroscopies are extremely sensitive, they provide many specific parameters to correlate with physical structure, and they cover a wide time range, from picoseconds to seconds, which allows the study of a variety of different processes. The time scale of tyrosine fluorescence extends from picoseconds to a few nanoseconds, which is a good time window to obtain information about rotational diffusion, intermolecular association reactions, and conformational relaxation in the presence and absence of cofactors and substrates. Moreover, the time dependence of the fluorescence intensity and anisotropy decay can be used to test predictions from molecular dynamics.(167) In using tyrosine to study the dynamics of protein structure, it is particularly important that we begin to understand the basis for the anisotropy decay of tyrosine in terms of the potential motions of the phenol ring.(221) For example, the frequency of flips about the C -C bond of tyrosine appears to cover a time range from milliseconds to nanoseconds.(222)... [Pg.52]

Head et al. developed a PLS-based model VALIDATE [47] to scale the relative contributions of entropy and enthalpy to binding affinity for a variety of complexes whose crystal structures had been determined. Molecular mechanics were used to calculate several parameters most correlated with enthalpy of binding, while changes in surface area, number of rotatable bonds fixed upon binding and other parameters more related to the entropy of binding were also included in the model. Of interest was that the principal components of the model were dominated by two terms (AH and AS,... [Pg.12]

Structural information on aromatic donor molecule binding was obtained initially by using H NMR relaxation measurements to give distances from the heme iron atom to protons of the bound molecule. For example, indole-3-propionic acid, a structural homologue of the plant hormone indole-3-acetic acid, was found to bind approximately 9-10 A from the heme iron atom and at a particular angle to the heme plane (234). The disadvantage of this method is that the orientation with respect to the polypeptide chain cannot be defined. Other donor molecules examined include 4-methylphenol (p-cresol) (235), 3-hydroxyphenol (resorcinol), 2-methoxy-4-methylphenol and benzhydroxamic acid (236), methyl 2-pyridyl sulfide and methylp-tolyl sulfide (237), and L-tyrosine and D-tyrosine (238). Distance constraints of between 8.4 and 12.0 A have been reported (235-238). Aromatic donor proton to heme iron distances of 6 A reported earlier for aminotriazole and 3-hydroxyphenol (resorcinol) are too short because of an inappropriate estimate of the molecular correlation time (239), a parameter required for the calculations. Distance information for a series of aromatic phenols and amines bound to Mn(III)-substituted HRP C has been published (240). [Pg.139]

Experimental evidence on whether L or other molecular parameters (Stokes radius, viscosity radius, radius of gyration, the product of intrinsic viscosity and molecular weight, etc.) govern partitioning in SEC supports has been summarized by Dubin [29]. He concludes that none of these parameters perfectly correlates with SEC partitioning when a wide variety of macromolecules, of both rigid and flexible structure, are used as test probes. This may result from the complex uncharacterized nature of the pore space occupying the porous supports commonly utilized. [Pg.35]

The relationship between 77/770 and qx0 appears to be dependent on the molecular-weight distribution. As a first approximation, this influence may be taken into account by using the distribution factor Q = Mw/Mn as a parameter. The available experimental data do not show an influence of the molecular-weight distribution on the relationship between t/t0 and qx0. Consequently, the factor Q should also be used as a parameter in correlating the data on G/G0 as a function of qx0. [Pg.556]

Depending on whether a solvent or a non-solvent is used as diluent, large differences in swelling between the materials may be seen [13,40]. In the molecular imprinting of L-PA (model system), a number of MIPs were prepared using a standard recipe with 83% cross-linker but with different diluents (see also Chapter 5) [13]. To what extent do the solubility parameters then correlate with the polymer morphology or, in other words, which solvents are good and which are bad in the polymerisation of EDMA and MAA. As described in Chapter 5, maximum... [Pg.37]

In this section, the reader will be confronted with and introduced to some comparatively elemental facts on the theory underlying interpretation of the shielding parameter accessible for normal molecules in isotropic solutions, where normal refers to molecules which are not oversized (such as vanadium bound to proteins), and were we therefore are in the so-called extreme narrowing limit , characterised by the condition 2TruQT << 1, where vq is the measuring frequency and the molecular correlation time, a measure of the mobility of a solute molecule in a solvent. Extreme narrowing simply means that the molecule is freely mobile and the frequency applied to obtain NMR information does not influence the respective parameters. Although the term contains the component extreme , we are well in the domain of normal conditions. [Pg.55]

Boelens has also used this approach to derive QSAR equations for musk, jasmine, fruit and bitter almond odorants (Boelens, 1976 Boelens and Punter, 1978 Boelens et al., 1983). In the case of bitter almond and musk, he concluded that hydrophobic and steric parameters were important. For the jasmine materials, he found that molecular connectivity indices were useful parameters. Molecular connectivity indices were also used by their inventors, Kier et al. (1977), to analyse anosmia to fatty acids and the odour similarities of ethereal, floral and benzaldehyde-like odorants. Dearden (1994) also developed a QSAR equation relating the odour similarity of bitter almond odorants to two connectivity indices. Greenberg (1979) found that the odour intensity of a series of homologous compounds was correlated to their hydrophobic properties and not to steric or polar properties, while Rossiter (1996b) found that the fruitiness of aliphatic esters was related to steric hindrance of the ester group and either molecular length or log P. [Pg.247]

Information about fluidity and viscosity of bilayers of artificial and natural membranes has been obtained from electron spin resonance studies in which the mobility of the spin-labelled species along the surface plane of the membrane is determined (17). However, the monolayer of either lipid, protein, or lipid-protein systems at the air-water interface, makes an ideal model because several parameters can be measured simultaneously. Surface tension, surface pressure, surface potential, surface viscosity, surface fluorescence and microviscosities, surface radioactivity, and spectroscopy may be determined on the same film. Moreover, the films can be picked up on grids from which they may be observed by electron microscopy, studied further for composition, and analyzed for structure by x-ray diffraction and spectroscopy. This approach can provide a clear understanding of the function and morphology of the lipid and lipid-protein surfaces of experimental membranes. However, the first objective is to obtain molecular correlations of surface tension, pressure, potential, and viscosity. [Pg.250]

Saxena AK. Physicochemical significance of topological parameters molecular connectivity index and information content Part 2. Correlation studies with molar refractivity and lipophilicity. Quant Struct-Act Relat 1995 14 142-148. [Pg.567]

Fig. 5.1-3 Multiparameter correlation ofthe rate constant for the reaction of 1,2-dimethylimidazole with benzyl bromide with it, 6 and a solvent parameters. Molecular solvents ( ), IL(A). Fig. 5.1-3 Multiparameter correlation ofthe rate constant for the reaction of 1,2-dimethylimidazole with benzyl bromide with it, 6 and a solvent parameters. Molecular solvents ( ), IL(A).

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