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Structural estimability

Lee B and F M liichards 1971. The Interpretation of Protein Structures Estimation of Static Accessibil ity. Journal of Molecular Biology 55 379-400. [Pg.45]

The CD spectrum of the C188S mutant is essentially the same as that of the wild-type enzyme, which reflects that the tertiary structure of this mutant changed little compared to that of the wild-type enzyme. Calculation of the content of secondary structure of the mutant enzyme based on J-600S Secondary Structure Estimation system (JASCO) also showed that there is no significant change in the secondary structure of the mutant. The fact that the k value of this mutant is extremely small despite little change in conformation clearly indicates that Cysl88 is located in the active site. [Pg.317]

In another study, ATPase reconstituted into liposomes was analyzed by infrared attenuated total reflection spectroscopy and the secondary-structure elements of the molecule were determined from the spectra obtained by Fourier self-deconvolution [42]. Gratifyingly, essentially identical secondary-structure estimates for the ATPase were obtained by this entirely different approach, suggesting quite strongly that these secondary-structure estimates are reasonably accurate. Thus, any future models for the structure of the H -ATPase must take this information into account. [Pg.122]

Equation (2) indicates that an increase of the tilt angle from 26° to 36° results a small blue shift of the absorption maximum (in wavelength) in the visible region. Spectral observation of the group VI (375 nm) and V (360 nm) is very consistent with the structural estimation from the X-ray diffraction experiments. [Pg.60]

Secondary Structure Estimates by Spectroscopic Methods in Prion Systems... [Pg.149]

It follows directly that any globally estimable system is also structurally estimable. [Pg.38]

By a natural extension of the concepts developed in the previous chapter (structural estimability), if the generic rank of the composite matrix (Aj A2) is not less than n (n number of unmeasured variables), then the system does not include structural singularities. Furthermore, if all the unmeasured nodes are determinable, then there are no isolated variables, which cannot be computed from the balance equations. [Pg.50]

DNB (Lyman et al. 1982). Henry s law constant for 1,3,5-TNB was estimated to be 3.08x10 atm-m /mol at 25 °C using a group structural estimation method (Hine and Mookerjee 1975 HSDB 1994). Based on this value, 1,3,5-TNB is essentially nonvolatile (Lyman et al. 1982). This means that it is very unlikely that large amounts of either 1,3-DNB or 1,3,5-TNB would be released into the air from contaminated waters. [Pg.81]

Assuming that LsAii is ionic, whut is its most probahle structure Estimate an enthalpy of formation for u... [Pg.978]

Computer-Aided Property Estimation Computer-aided structure estimation requires the structure of the chemical compounds to be encoded in a computer-readable language. Computers most efficiently process linear strings of data, and hence linear notation systems were developed for chemical structure representation. Several such systems have been described in the literature. SMILES, the Simplified Molecular Input Line Entry System, by Weininger and collaborators [2-4], has found wide acceptance and is being used in the Toolkit. Here, only a brief summary of SMILES rules is given. A more detailed description, together with a tutorial and examples, is given in Appendix A. [Pg.5]

Crystallographic data for CdSexTe x, from X-ray powder diffraction. Stoichiometries from relative amounts of starting materials, and from Vegard s law. Percentages of cubic and hexagonal structures estimated from powder diffraction intensities. Lattice dimensions in parentheses are literature data. [Pg.377]

Figure 20 An example of the approximated 3D bubble shape and corresponding flow structure estimated from the measurement using PIV/LIF combining with double-SIT system (a) characteristic vorticity structure around the bubble (bubble moves in the y-z plane) (b) reconstructed 3D bubble shape (c) relation between bubble location and measured plane for PIV and (d) 3D bubble trajectory (Fujiwara et al., 2004a) (see Plate 7 in Color Plate Section at the end of this book). Figure 20 An example of the approximated 3D bubble shape and corresponding flow structure estimated from the measurement using PIV/LIF combining with double-SIT system (a) characteristic vorticity structure around the bubble (bubble moves in the y-z plane) (b) reconstructed 3D bubble shape (c) relation between bubble location and measured plane for PIV and (d) 3D bubble trajectory (Fujiwara et al., 2004a) (see Plate 7 in Color Plate Section at the end of this book).
Chapter 5 summarizes the crystal field spectra of transition metal ions in common rock-forming minerals and important structure-types that may occur in the Earth s interior. Peak positions and crystal field parameters for the cations in several mineral groups are tabulated. The spectra of ferromagnesian silicates are described in detail and correlated with the symmetries and distortions of the Fe2+ coordination environments in the crystal structures. Estimates are made of the CFSE s provided by each coordination site accommodating the Fe2+ ions. Crystal field splitting parameters and stabilization energies for each of the transition metal ions, which are derived from visible to near-infrared spectra of oxides and silicates, are also tabulated. The CFSE data are used in later chapters to explain the crystal chemistry, thermodynamic properties and geochemical distributions of the first-series transition elements. [Pg.239]

The saturation magnetization of magnetite is 5.2xl05 Am-1 and the unit cell is of side 837 pm. Assuming the inverse spinel structure, estimate the magnetic moment (in Bohr magnetons) of the Fe2+ ion. [Answers 6.7 fiB and 4 fiB 4.11 B]... [Pg.544]

The advent of recombinant DNA technology has led to an increased interest in the structural characterization of proteins by spectroscopic methods. Few spectroscopic techniques can provide the amount of information regarding protein secondary and tertiary structure which can be obtained from circular dichroism (CD) spectroscopy. In this chapter we describe the capabilities of CD spectroscopy to provide details on the globular structure of proteins. In addition, we will provide an overview of quantitative secondary structure estimates via CD spectroscopy and of specialized CD methods for studying proteins in contact with membranes and other biomolecules. Certain aspects of protein CD spectroscopy have been previously reviewed [1-19]. [Pg.176]

Lee B, Richards FM (1971) The interpretation of protein structures estimation of static accessibility. J Mol Biol 55 379-400... [Pg.544]

In Exercise 55 in Chapter 13, the Lewis structures for benzene (CgH6) were drawn. Using one of the Lewis structures, estimate AH° for QH g) using bond energies and given the standard enthalpy of formation of C(g) is 717 kj/mol. The experimental AH° value for QHgfg) is 83 kj/mol. Explain the discrepancy between the experimental value and the calculated AH° value for CeH fg). [Pg.702]

Figure 11. CO coverage on Pt (a) and Ru (b) in H2 (with 100 ppm CO) on the three indicated catalysts as a function of CO exposure time, (obtained from Pt and Ru edge Ap XANES). The indicated catalysts are schematically illustrated on the botom (structure estimated from EXAFS analysis). The PtRu Mix catalyst was prepared by mechanically mixing Pt/C and Ru/C powder, with some atoms of the other element thereby being deposited on each cluster surface. Figure 11. CO coverage on Pt (a) and Ru (b) in H2 (with 100 ppm CO) on the three indicated catalysts as a function of CO exposure time, (obtained from Pt and Ru edge Ap XANES). The indicated catalysts are schematically illustrated on the botom (structure estimated from EXAFS analysis). The PtRu Mix catalyst was prepared by mechanically mixing Pt/C and Ru/C powder, with some atoms of the other element thereby being deposited on each cluster surface.
To facilitate the drawing of Lewis structures, estimate the number of bonds. [Pg.2]

Assuming that CsAu is ionic, what is its most probable structure. Estimate an enthalpy of formation for it. [Pg.967]


See other pages where Structural estimability is mentioned: [Pg.430]    [Pg.355]    [Pg.580]    [Pg.38]    [Pg.17]    [Pg.258]    [Pg.506]    [Pg.373]    [Pg.334]    [Pg.75]    [Pg.565]    [Pg.222]    [Pg.62]    [Pg.152]    [Pg.151]    [Pg.328]    [Pg.420]    [Pg.175]    [Pg.182]    [Pg.222]    [Pg.181]    [Pg.60]    [Pg.1140]    [Pg.1631]    [Pg.680]    [Pg.2308]    [Pg.606]   
See also in sourсe #XX -- [ Pg.19 ]

See also in sourсe #XX -- [ Pg.19 ]




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Activated complex structure estimation

Chain structure continued chains, estimating

Contributing structures estimating relative importance

Estimate of Structure Invariants

Estimate pv Solely from Molecular Structure

Estimating structural steel

Estimation from chemical structure data

Estimation from structural group contributions

Estimation from structural group contributions systems

Estimation of Structural Parameters

Identification and Estimation of Structural Unit Types

Lewis structure bond number estimation

Molecular structure design polymer property estimation

Molecular structure property estimation from

Numerical estimations, structural-dynamical

Protein stability estimation from crystal structure

Real term structure estimation

Structural parameters estimation

Structural steel estimating procedure

Structural-dynamical model numerical estimations

Structure/property estimation method

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