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Cell model function

The classical cadherins are translated as precursor because they are N-terminally cleaved to reveal the mature proteins. This processing is required to activate the cell adhesion function of cadherins. Cadherins interact in trans (i.e., from opposite cells) via the most N-terminal cadherin rqDeats. A short amino acid sequence within this repeat, histidine-alanine-valine (HAV), has been implicated in mediating cell-cell contacts as HAV peptides can disrupt cadherin-dependent cell adhesion. Besides the trans-interactions of cadherins, the extracellular domains are also capable of forming cis-dimers through lateral amino acid contacts between cadherin molecules on one cell. This dimerization again mainly involves the first cadherin repeat. A zipper model based on the pattern of alternating cis- and trans-dimers [1] for the adhesive interactions has been proposed. [Pg.307]

The reasons for this are diverse and include the fact that models of cardiac cellular activity were among the first cell models ever developed. Analytical descriptions of virtually all cardiac cell types are now available. Also, the large-scale integration of cardiac organ activity is helped immensely by the high degree of spatial and temporal regularity of functionally relevant events and structures, as cells in the heart beat synchronously. [Pg.132]

These may be produced by grouping together multiple cell models to form virtual tissue segments, or even the whole organ. The validity of such multi-cellular constructs crucially depends on whether or not they take into account the heart s fine architecture, as cardiac structure and function are tightly interrelated. [Pg.137]

Fig.2. ApAT of the potentiometric titration of PGA ( 0.011 monomol dm ) with strong base as a function of a ( ) theoretically calculated curve on the basis of the cell model, (+) LiOH, ( a ) (C//3 NOH, and ( O ) C H NOH. Fig.2. ApAT of the potentiometric titration of PGA ( 0.011 monomol dm ) with strong base as a function of a ( ) theoretically calculated curve on the basis of the cell model, (+) LiOH, ( a ) (C//3 NOH, and ( O ) C H NOH.
While prior information may be used to influence the parameter estimates towards realistic values, there is no guarantee that the final estimates will not reach extreme values particularly when the postulated grid cell model is incorrect and there is a large amount of data available. A simple way to impose inequality constraints on the parameters is through the incorporation of a penalty function as already discussed in Chapter 9 (Section 9.2.1.2). By this approach extra terms are added in the objective function that tend to explode when the parameters approach near the boundary and become negligible when the parameters are far. One can easily construct such penalty functions. For example a simple and yet very effective penalty function that keeps the parameters in the interval (kmjnkmaXil) is... [Pg.383]

In summary, the relationship between TER and solute permeability shown here and by Madara and Hecht (1989) emphasizes that these two measures of paracellular leakage are related but not directly correlated. The most obvious feature is that permeability as a function of TER is dependent upon the solute characteristics, primarily molecular size but also charge. The degree of correlation becomes worse as the molecular size of the solute increases. Consequently, the interrelationship between TER and solute permeability must be measured for each cell model before a minimum TER value can be selected as a prerequisite for flux studies. [Pg.277]

This function has been introduced to account for the first order like transition in the process of the compression of the film. The function F(jc) may be thus represented as an "S"-shape function (Figure 8) [30,31]. In analogy with the section 2, the time dependent changes of concentrations, [S], [DiIlt] and [Dsllb] are calculated from the above equations and the rectangular cell model based on division of the air/water interface into twenty cells. In the present work, we take the approximation that the dynamic surface pressure is directly proportional to [S] and [Dint] [44,45]. [Pg.247]

From the quantitative point of view, the success of the cell model of solutions was more limited. For example, a detailed analysis of the excess functions of seven binary mixtures by Prigogine and Bellemans5 only showed a very rough agreement between theory and experiment. One should of course realize here that besides the use of the cell model itself, several supplementary assumptions had to be made in order to obtain numerical estimates of the excess functions. For example, it was assumed that two molecules of species and fi interact following the 6-12 potential of Lennard-Jones ... [Pg.118]

The theoretical description based on the lattice or cell models of the liquid uses the language contributing states of occupancy . Nevertheless, these states ot occupancy are not taken to be real, and the models are, fundamentally, of the continuum type. The contribution to the free energy function of different states of occupancy of the basic lattice section is analogous to the contribution to the energy of a quantum mechanical system of terms in a configuration interaction series. [Pg.161]

Just as in our abbreviated descriptions of the lattice and cell models, we shall not be concerned with details of the approximations required to evaluate the partition function for the cluster model, nor with ways in which the model might be improved. It is sufficient to remark that with the use of two adjustable parameters (related to the frequency of librational motion of a cluster and to the shifts of the free cluster vibrational frequencies induced by the environment) Scheraga and co-workers can fit the thermodynamic functions of the liquid rather well (see Figs. 21-24). Note that the free energy is fit best, and the heat capacity worst (recall the similar difficulty in the WR results). Of more interest to us, the cluster model predicts there are very few monomeric molecules at any temperature in the normal liquid range, that the mole fraction of hydrogen bonds decreases only slowly with temperature, from 0.47 at 273 K to 0.43 at 373 K, and that the low... [Pg.161]

As already discussed, modelling this multiple exponential decay function with the numerical cell model gives valuable information about cell morphology and membrane permeability. Similar information is available... [Pg.107]

The periodic recurrence of cell division suggests that globally the cell cycle functions like an autonomous oscillator. An extended model incorporating the sequential activation of the various cyclin-dependent kinases, followed by their inactivation, shows that even in the absence of control by cell mass, this sequence of biochemical events can operate as a limit cycle oscillator [145]. This supports the union of the two views of the cell cycle as dominoes and clock [146]. Because of the existence of checkpoints, however, the cell cycle stops at the end of certain phases before engaging in the next one. Thus the cell cycle looks more like an oscillator that slows down and makes occasional stops. A metaphor for such behavior is provided by the movement of the round plate on the table in a Chinese restaurant, which would rotate continuously under the movement imparted by the participants, were it not for frequent stops. [Pg.274]

The most important electrokinetic data pertinent to fuel cell models are the specific interfacial area in the catalyst layer, a, the exchange current density of the oxygen reduction reaction (ORR), io, and Tafel slope of ORR. The specific interfacial area is proportional to the catalyst loading and inversely proportional to the catalyst layer thickness. It is also a strong function of the catalyst layer fabrication methods and procedures. The exchange current density and Tafel slope of ORR have been well documented in refs 28—31. [Pg.492]

Resident CSCs were first isolated in murine hearts. Characterization of these cells was based on the expression of the stem cell-related surface antigens c-Kit and Sea-1. In the first study, freshly isolated c-Kit /Lin cells were shown to be clono-genic and to differentiate into myocytes, smooth muscle cells, and endothelial lineage cells [35]. Those cells generated functional myocardium when injected into ischemic areas of the heart. The second study characterized CSCs as Sca-l/c-Kit. When treated in culture with 5-azacytidine, those cells differentiated into a myogenic lineage. Subsequently, intravenous injection of the cells in an ischemia/reperfusion model resulted in infarct healing with cardiomyocyte transdifferentiation... [Pg.103]


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