Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Intrinsic prediction

Serum chemistry markers play an important role in hepatotoxicity evaluation in human and animal safety studies. The classic markers of hepatotoxicity are alanine aminotransferase (ALT), aspartate aminotrasnferase (AST) and alkaline phosphatase (ALP) [124—127]. Drug-induced hepatotoxicity can be difficult to assess in some circumstances. Hepatotoxic responses can be intrinsic (predictable, dose-related) or idiosyncratic (unpredictable, non-dose-related). ALT, AST and ALP are generally not useful for predicting idiosyncratic responses. The administration of some drugs, such as isoniazid, can lead to a high incidence of ALT elevation, but are tolerated by most patients without severe hepatotoxicity. Adverse drug reactions can be masked... [Pg.369]

For example, dissolved carbonate species present in our 0.02 I buflFer system, predominantly CO2, H2CO3 , HCOa, COa, and various car-bonato complexes, had a marked elfect concerning adsorption to transition metal oxides. The zeta potential of CuO in 0.02 I buffer was —17.6 6.1 mV, while in 0.02M NaCl that contained only traces of total dissolved carbonate (approximately lO M), it was -f32.0 it 5.8 mV. This shows marked alteration of the electrical structure of double layers by some carbonate species. The same effects were seen to lesser extents on Fc203 and Mn02 (8). Double-layer interaction potentials calculated with zeta potentials measured in 0.02 I reaction buffers matched adsorption free energy differences well, and these potentials included the effects of carbonate species. Where effects of dissolved constituents have not been accounted for intrinsically, predictions made on the basis of the DLVO-Lifshitz considerations alone must be made with care. [Pg.129]

To nnderstand the internal molecnlar motions, we have placed great store in classical mechanics to obtain a picture of the dynamics of the molecnle and to predict associated patterns that can be observed in quantum spectra. Of course, the classical picture is at best an imprecise image, becanse the molecnlar dynamics are intrinsically quantum mechanical. Nonetheless, the classical metaphor mnst surely possess a large kernel of truth. The classical stnichire brought out by the bifiircation analysis has accounted for real patterns seen in wavefimctions and also for patterns observed in spectra, snch as the existence of local mode doublets, and the... [Pg.75]

The first classical trajectory study of iinimoleciilar decomposition and intramolecular motion for realistic anhannonic molecular Hamiltonians was perfonned by Bunker [12,13], Both intrinsic RRKM and non-RRKM dynamics was observed in these studies. Since this pioneering work, there have been numerous additional studies [9,k7,30,M,M, ai d from which two distinct types of intramolecular motion, chaotic and quasiperiodic [14], have been identified. Both are depicted in figure A3,12,7. Chaotic vibrational motion is not regular as predicted by tire nonnal-mode model and, instead, there is energy transfer between the modes. If all the modes of the molecule participate in the chaotic motion and energy flow is sufficiently rapid, an initial microcanonical ensemble is maintained as the molecule dissociates and RRKM behaviour is observed [9], For non-random excitation initial apparent non-RRKM behaviour is observed, but at longer times a microcanonical ensemble of states is fonned and the probability of decomposition becomes that of RRKM theory. [Pg.1026]

For some systems qiiasiperiodic (or nearly qiiasiperiodic) motion exists above the unimoleciilar tlireshold, and intrinsic non-RRKM lifetime distributions result. This type of behaviour has been found for Hamiltonians with low uninioleciilar tliresholds, widely separated frequencies and/or disparate masses [12,, ]. Thus, classical trajectory simulations perfomied for realistic Hamiltonians predict that, for some molecules, the uninioleciilar rate constant may be strongly sensitive to the modes excited in the molecule, in agreement with the Slater theory. This property is called mode specificity and is discussed in the next section. [Pg.1027]

The pathway model makes a number of key predictions, including (a) a substantial role for hydrogen bond mediation of tunnelling, (b) a difference in mediation characteristics as a function of secondary and tertiary stmcture, (c) an intrinsically nonexponential decay of rate witlr distance, and (d) patlrway specific Trot and cold spots for electron transfer. These predictions have been tested extensively. The most systematic and critical tests are provided witlr mtlrenium-modified proteins, where a syntlretic ET active group cair be attached to the protein aird tire rate of ET via a specific medium stmcture cair be probed (figure C3.2.5). [Pg.2978]

The influence of solvent can be incorporated in an implicit fashion to yield so-called langevin modes. Although NMA has been applied to allosteric proteins previously, the predictive power of normal mode analysis is intrinsically limited to the regime of fast structural fluctuations. Slow conformational transitions are dominantly found in the regime of anharmonic protein motion. [Pg.72]

Table 2. Predicted intrinsic and apparent pKa values for the Cys403 residue in Yersinia phosphatase for different models of the structure the data refer to a temperature of 293 K and an ionic strength corresponding to 150 mM of monovalent salt. See the text for the detailed description of the conditions under which each pK estimation was made. The experimentally determined value is 4.67 [39]... Table 2. Predicted intrinsic and apparent pKa values for the Cys403 residue in Yersinia phosphatase for different models of the structure the data refer to a temperature of 293 K and an ionic strength corresponding to 150 mM of monovalent salt. See the text for the detailed description of the conditions under which each pK estimation was made. The experimentally determined value is 4.67 [39]...
Unfortunately, the approach of determining empirical potentials from equilibrium data is intrinsically limited, even if we assume complete knowledge of all equilibrium geometries and their energies. It is obvious that statistical potentials cannot define an energy scale, since multiplication of a potential by a positive, constant factor does not alter its global minimizers. But for the purpose of tertiary structure prediction by global optimization, this does not not matter. [Pg.215]

The goal of PCR is to extract intrinsic effects in the data matrix X and to use these effects to predict the values of Y. [Pg.448]

The fact that an electron has an intrinsic spin comes out of a relativistic formulation of quantum mechanics. Even though the Schrodinger equation does not predict it, wave functions that are antisymmetric and have two electrons per orbital are used for nonreiativistic calculations. This is necessary in order to obtain results that are in any way reasonable. [Pg.261]

Concentrated solution viscosity higher than predicted for the intrinsic viscosity. [Pg.259]

Displacement Development A complete prediction of displacement chromatography accounting for rate factors requires a numerical solution since the adsorption equilibrium is nonlinear and intrinsically competitive. When the column efficiency is high, however, useful predictious can be obtained with the local equilibrium theoiy (see Fixed Bed Transitions ). [Pg.1536]

Stereoelectronic control also plays a role in mechanistic stereoselectivity. One such case is the very fundamental 8 2 process which proceeds rigorously with inversion of configuration at carbon. Because of that intrinsic and predictable stereoselectivity, the C-C disconnective Sn2 displacement transform is very important even though it does not directly reduce the number of stereocenters, e.g. 153 => 154. [Pg.49]

In Eq. (7-21), AGo is the intrinsic barrier, the free energy of activation of the (hypothetical) member of the reaction series having AG" = 0. It is evident that the Marcus equation predicts a nonlinear free energy relationship, although if a limited... [Pg.314]


See other pages where Intrinsic prediction is mentioned: [Pg.484]    [Pg.44]    [Pg.44]    [Pg.484]    [Pg.44]    [Pg.44]    [Pg.203]    [Pg.24]    [Pg.895]    [Pg.1037]    [Pg.1038]    [Pg.1740]    [Pg.2909]    [Pg.614]    [Pg.249]    [Pg.383]    [Pg.498]    [Pg.538]    [Pg.521]    [Pg.734]    [Pg.329]    [Pg.333]    [Pg.27]    [Pg.117]    [Pg.455]    [Pg.52]    [Pg.97]    [Pg.164]    [Pg.173]    [Pg.367]    [Pg.187]    [Pg.189]    [Pg.201]    [Pg.203]    [Pg.205]    [Pg.111]    [Pg.140]    [Pg.188]    [Pg.201]   
See also in sourсe #XX -- [ Pg.92 ]




SEARCH



Human intrinsic clearance predicting

© 2024 chempedia.info