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Modeling nature

P Koehl, M Delame. A self consistent mean field approach to simultaneous gap closure and side-chain positioning m protein homology modelling. Nature Struct Biol 2 163-170, 1995. R Samudrala, J Moult. A graph-theoretic algorithm for comparative modeling of protein structure. J Mol Biol 279 287-302, 1998. [Pg.307]

AR Dinner, M Karplus. A metastable state m folding simulations of a protein model. Nature Struct Biol 5 236-241, 1998. [Pg.390]

Figure 10. Comparison of cup average conversion predicted by horizontally lumped model (natural convection included) and axisymmetric model (natural convection neglected) for a = 0, 5 and 10. Figure 10. Comparison of cup average conversion predicted by horizontally lumped model (natural convection included) and axisymmetric model (natural convection neglected) for a = 0, 5 and 10.
G. "Three-dimensional Fourier Synthesis of Horse Oxyhemoglobin at 2.8 A Resolution (II) The Atomic Model". Nature (1968), 219, 131. [Pg.44]

Baker D, Pryce G, Croxford JL. Cannabinoids control spasticity and tremor in a multiple sclerosis model. Nature 2000 404 84-87. [Pg.126]

Although this section has emphasized possible errors in the observed data, the above considerations should not be used as a crutch to support an invalid or inaccurate model. In truth, in most circumstances the observed data are our best real indication of system behavior. Combining model simulations with an informed skepticism of both model and the observed data can lead to a better overall understanding of modeling natural systems. [Pg.163]

Dodart, J. C., Bales, K. R., Gannon, K. S. et al. Immunization reverses memory deficits without reducing brain A(3 burden in Alzheimer s disease model. Nature Neurosci. 5 452M57, 2002. [Pg.790]

Thirteen minerals appear supersaturated in the first block of results produced by the chemical model (Table 6.6). These results, therefore, represent an equilibrium achieved internally within the fluid but metastable with respect to mineral precipitation. It is quite common in modeling natural waters, especially when working at low temperature, to find one or more minerals listed as supersaturated. Unfortunately, the error sources in geochemical modeling are large enough that it can be difficult to determine whether or not a water is in fact supersaturated. [Pg.86]

Van Dam D, De Devn PP. Model organisms drug discovery in dementia the role of rodent models, Nature Reviews Drug Discovery 5 956-970 (2006). [Pg.175]

Force Model Nature of Attraction Energy (kJ/mol) Example... [Pg.195]

Dispersion and Tanks in Series Model. The first attempts at modeling naturally tried the simple one-parameter models however, observed conversion well below mixed flow cannot be accounted for by these models so this approach has been dropped by most workers. [Pg.452]

We have discussed methods for experimentally finding dispersion coefficients for the various classes of dispersion models. Although the models were treated completely separately, there are interrelations between them such that the simpler plug-fiow models may be derived from the more complicated general models. Naturally, we would like to use the simplest possible model whenever possible. Conditions will be developed here for determining when it is justifiable to use a simpler plug-flow model rather than the more cumbersome general model. [Pg.134]

Zhu, C. 2003. A case against Kd-based transport models Natural attenuation at a mill tailings site. Computers Geosciences, 29, 351-359. [Pg.35]

Nyce W, Metzger W (1997) DNA antisense therapy for asthma in an animal model. Nature 385(6618) 721-725... [Pg.230]

Keywords Anthropogenic contribution, Chemical composition, Chemical transport modelling, Natural contribution, North-western Europe, PM10, Source apportionment, Spain... [Pg.240]

In this chapter we focus on supramolecular chemical reactivity. In particular this means predominantly the role supramolecular chemistry plays in accelerating or understanding chemical reactions. There are close parallels between artificial, abiotic supramolecular reactivity and biochemistry, for example in the study of enzymes, Nature s catalysts - described in Section 2.6. Synthetic catalysts can both model natural ones and allow the design of new, different kinds of reactions. Supramolecular catalysis sits somewhere between chemical catalysis (transition metal and organocatalysis) and biology. Some considerations within various kinds of catalysis are summed up in the chart shown in Figure 12.1. [Pg.810]


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