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Distribution compounds

A Compound Distribution.—We now give an illustration of computations performed on a stochastic process. [Pg.270]

Complex conjugation, 492 Complex-valued random variables, 144 Compound distribution, 270 Conditional distribution functions, 148, 152... [Pg.771]

Changes in the method of compound distribution for biological assays and therefore changes in apparent aqueous solubility and compound concentration. [Pg.216]

It is sometimes possible to get an indication of how widely the parent compound may distribute in the body from the available physico-chemical data. The sites to which the parent compound distributes (pattern of distribution) once it has entered the systemic circulation are likely to be similar for all routes of administration. In general, substances and their metabohtes that readUy diffuse across membranes wUl distribute throughout the body and may be able to cross the blood-brain and blood-testes barriers, although the concentrations within the brain or testes may be lower than that in the plasma. The rate at which highly water-soluble molecules distribute may be hmited by the rate at which they cross cell membranes and access of such substances to the central nervous system (CNS) or testes is likely to be restricted (though not entirely prevented) by the blood-brain and blood-testes barriers. [Pg.105]

Organic compounds, natural, fossil or anthropogenic, can be used to provide a chemical mass balance for atmospheric particles and a receptor model was developed that relates source contributions to mass concentrations in airborne fine particles. The approach uses organic compound distributions in both source and ambient samples to determine source contributions to the airborne particulate matter. This method was validated for southern California and is being applied in numerous other airsheds. ... [Pg.96]

Fig. 1. Median partitioning and compound selection. In this schematic illustration, a two-dimensional chemical space is shown as an example. The axes represent the medians of two uncorrelated (and, therefore, orthogonal) descriptors and dots represent database compounds. In A, a compound database is divided in into equal subpopulations in two steps and each resulting partition is characterized by a unique binary code (shared by molecules occupying this partition). In B, diversity-based compound selection is illustrated. From the center of each partition, a compound is selected to obtain a representative subset. By contrast, C illustrates activity-based compound selection. Here, a known active molecule (gray dot) is added to the source database prior to MP and compounds that ultimately occur in the same partition as this bait molecule are selected as candidates for testing. Finally, D illustrates the effects of descriptor correlation. In this case, the two applied descriptors are significantly correlated and the dashed line represents a diagonal of correlation that affects the compound distribution. As can be seen, descriptor correlation leads to over- and underpopulated partitions. Fig. 1. Median partitioning and compound selection. In this schematic illustration, a two-dimensional chemical space is shown as an example. The axes represent the medians of two uncorrelated (and, therefore, orthogonal) descriptors and dots represent database compounds. In A, a compound database is divided in into equal subpopulations in two steps and each resulting partition is characterized by a unique binary code (shared by molecules occupying this partition). In B, diversity-based compound selection is illustrated. From the center of each partition, a compound is selected to obtain a representative subset. By contrast, C illustrates activity-based compound selection. Here, a known active molecule (gray dot) is added to the source database prior to MP and compounds that ultimately occur in the same partition as this bait molecule are selected as candidates for testing. Finally, D illustrates the effects of descriptor correlation. In this case, the two applied descriptors are significantly correlated and the dashed line represents a diagonal of correlation that affects the compound distribution. As can be seen, descriptor correlation leads to over- and underpopulated partitions.
A major practical issue affecting MP calculations is caused by use of correlated molecular descriptors. During subsequent MP steps, exact halves of values (and molecules) are only generated if the chosen descriptors are uncorrelated (orthogonal), as shown in Fig. 1A. By contrast, the presence of descriptor correlations (and departure from orthogonal reference space) leads to overpopulated and underpopulated, or even empty, partitions (see also Note 5), as illustrated in Fig. ID. For diversity analysis, compounds should be widely distributed over computed partitions and descriptor correlation effects should therefore be limited as much as possible. However, for other applications, the use of correlated descriptors that produce skewed compound distributions may not be problematic or even favorable (see Note 5). [Pg.295]

When two immiscible solvents are placed in contact with each other and a non-ionizable compound is dissolved in one of the solvents, the compound distributes itself between the two solvents. This distribution is referred to as partitioning. The ratio of the concentrations of the compound in each phase is a constant for a specific set of solvents, pH, buffers, buffer concentrations, ionic strength and temperature. This ratio is referred to as a partition coefficient or distribution coefficient and is equal to the ratio of the solubilities in the two solvents. When the compound is a weak acid or base, the distribution of the compound can be shown to be given by the following equation for a monoprotic compound ... [Pg.87]

To summarize, the more hydrophobic phenolic compounds are extracted better than the less hydrophobic ones, and the extraction is maximal at pH < pfCg. In general, for all the compounds distribution ratios are relatively high and comparable to those achieved with conventional active solvents like 1-octanol. This may be attributed to the ability of IL s imidazolic proton at Cj to hydrogen bonding and specific solvation of the phenolic molecule. [Pg.248]

Hyperspectral imaging Vibrational spectroscopy coupled with a spatial analysis (cf. chemical imaging chapter) X Chemical compound distributions Counterfeit detection... [Pg.363]

The total water in the body of an animal can be conveniently divided into three compartments the plasma water, the interstitial water, and the intracellular water. The way a foreign compound distributes into these compartments will profoundly affect the plasma concentration. If a compound is only distributed in the plasma water (which is 3 L in man), the plasma concentration will obviously be much higher than if it is distributed in all extracellular water ( 14 L) or the total body water 40 L). This may be quantified as a parameter known as the volume of distribution (VD), which can be calculated as follows ... [Pg.61]

Exercise. Let Xj be an infinite set of independent stochastic variables with identical distributions P(x) and characteristic function G(k). Let r be a random positive integer with distribution pr and probability generating function /(z). Then the sum 7 = Xl+X2 + +Xr is a random variable show that its characteristic function is f G k)). [This distribution of 7 is called a compound distribution in feller i, ch. XII.]... [Pg.17]

The Compound Distribution and Cascade Substitution. Another type of composed distribution may be constructed when the number of participants is not fixed but follows a distribution of the sums. The resultant distribution is called a compound distribution. For illustration, the distribution of units in the n-th generation for a f-functional polycondensate may be considered (see Fig. 11). [Pg.36]

These examples illustrate recent interest in investigating the potential of sulfur compound distributions for improving our understanding of geologic influences in determining variations in composition of crude oils with relation to source and evolution history. [Pg.19]

Iron Post. The Iron Post coal is a high sulfur coal (Table I) from the northeastern Oklahoma shelf, which is associated with pyritic shales. FPD chromatograms of the pyrolysis products of two Iron Post coals of similar rank show that the distributions of organosulfur compounds produced by pyrolysis of these two coals are quite similar (Figure 7). This supports the idea of a relationship between rank and organosulfur compound distribution in the pyrolysates of coals. [Pg.336]

Several distinct maturity-related trends emerge through detailed examination of the traces (Figure 10). There are variations in both the relative abundance of different compound classes and within individual compound classes. The most marked trend is an increase in abundance of alkylbenzothiophenes relative to alkylthiophenes. This is clearly seen in Figure 11 where the ratio of these two compound classes is plotted with respect to depth. There is also an apparent shift in the internal carbon number distributions of both the alkylbenzothiophenes and alkylthiophenes. Specifically, there appears to be a preferential loss of short-chain alkylthiophenes and alkylbenzothiophenes (e.g. methylthiophenes decrease relative to dimethylthiophenes). The exception to this depth trend is the sample from 2480m which appears less mature (on the basis of sulfur compound distribution) than the adjacent sample of shallower depth (2020m). [Pg.556]

The kinetic information can be used as well to deduce if a compound is bound homogeneously or not. The kinetics of flutax and paclitaxel dissociation from (3-tublin are monophasic, which indicates a single rate limiting step, consistent with most of the compound bound to the same site. However, dissociation of Epothilone A from the binding site shows biphasic behaviour, which would be consistent with the compound distributed between the external and the luminal site, with a temperature-dependant equilibrium (Table 2) which favours the outer site at higher temperatures. [Pg.74]

Molecular diversity is a global concept, which is applicable to the analysis of large compound distributions, but not to the study of pair-wise molecular relationships. This... [Pg.8]


See other pages where Distribution compounds is mentioned: [Pg.505]    [Pg.377]    [Pg.217]    [Pg.217]    [Pg.217]    [Pg.220]    [Pg.78]    [Pg.48]    [Pg.247]    [Pg.247]    [Pg.111]    [Pg.136]    [Pg.282]    [Pg.283]    [Pg.283]    [Pg.292]    [Pg.413]    [Pg.65]    [Pg.429]    [Pg.354]    [Pg.55]    [Pg.143]    [Pg.336]    [Pg.343]   
See also in sourсe #XX -- [ Pg.17 ]




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Distribution, of compounds

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Electron distribution in compounds

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