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Linear B determinant

The GalNAcal-3 residue of blood group A is added to the H determinant by blood group A a3-GalNAc-transferase (EC 2.4.1.40), and the blood group B determinant similarly by blood group B a3-Gal-transferase (EC 2.4.1.37). A related linear B o 3-Gal-transferase (EC 2.4.1.151) from nonprimates synthesizes the linear B determinant on terminal Gal residues without the Fucal-2 substitution. These three enzymes are retaining transferases of the CAZy GT6 family with a GT-A fold (Table 4). [Pg.341]

Blood groups A and B are synthesized by blood group A-dependent a3-GalNAc and blood group B-dependent a3-Gal-transferases, respectively. These two enzymes have similar acceptor substrate specificities and require the FI determinant as a substrate, while another a3-Gal-transferase, that is absent from humans and old world monkeys, acts on non-fucosylated terminal P-Gal residues and makes the linear B determinant, Galal-3Gaip- [89], The A and B transferases differ only by a few amino acids, which appear to determine the nucleotide-sugar donor specificities [90,91]. [Pg.1438]

Fig. 17. High-spin low-spin relaxation of [Fe(ptz)j](BF4)2 a normalized relaxation curves at temperatures between 57.5 and 66.5 K b activation energy AE as a function of n. The solid line represents a simultaneous fit of the five experimental curves displayed under a. The broken line is the result of a linear regression determined by AE° = — 164 cm" = — 0.47 kcal mol" as slope and AE = 797 cm" = 2.28 kcal mol" as intercept. Notation in the figure uses yi, A instead of Hl,... Fig. 17. High-spin low-spin relaxation of [Fe(ptz)j](BF4)2 a normalized relaxation curves at temperatures between 57.5 and 66.5 K b activation energy AE as a function of n. The solid line represents a simultaneous fit of the five experimental curves displayed under a. The broken line is the result of a linear regression determined by AE° = — 164 cm" = — 0.47 kcal mol" as slope and AE = 797 cm" = 2.28 kcal mol" as intercept. Notation in the figure uses yi, A instead of Hl,...
The most frequent application of SPOT-synthesis has been in the preparation of peptide arrays for the identification of linear B-cell epitopes. If the protein antigen is known, a set of overlapping peptides that encompass the entire sequence can be readily synthesized and assayed for binding of antibody (Reineke et al., 1999). The individual residues critical for binding can then be determined by SPOT-synthesis of peptides containing amino acid substitutions. [Pg.91]

From experiments using fixed HOC concentrations (Ct) and varying surfactant concentrations. Values are 1 SD. Ionic Strength = 0.1 M NaCl and pH 4.0 or 4.6 (K ). b Determined by nonlinear regression of eq 1 except as noted.c N, number of data points. d Determined by nonlinear regression of eq 2.c nd, not determined.f Obtained by linear regression of solubility enhancement data. 8 Naphthalene concentration was 78 pM. [Pg.197]

FIGURE 3.4.4 Mapping of linear B cell epitopes and determination of crucial IgE-binding amino acids by SPOTs technology. [Pg.153]

B) Determine the optimal pH of the aqueous portion of the mobile phase by running six linear gradient experiments (same gradient profile) using different aqueous portion pH in each run (2 -10.5). [Pg.406]

Slope, m, of a calibration line A parameter of the linear model y = mx -f b determined by regression analysis. [Pg.1118]

It can thus be assumed that one of these two mechanisms does play a decisive role in the electric conductivity of the films under discussion. However, it is not easy to distinguish between the two mechanisms, especially in the case of polymer systems. The simplest test, usually applied to crystal semiconductors, is the comparison of experimental coefficients B determined form the slope of the linear part of the j-V characteristic drawn in the Inj - V /2 system with theoretical values of that coefficient (the values of the coefficient are collected in Table II the theoretical values were calculated for dielectric constant e = 3.5). [Pg.230]

Figure 8.6. Separation of lattice distortions and crystallite size according to the Warren-Averbach principle applied to observed integral breadths Bobs s) of a set of WAXS peaks. Because the data are linearized in a plot of Bgbs the peak shape is (almost) Lorentzian and the predominant lattice distortions are of the second kind with mo = n d jL. The constant instrumental breadth B (determined separately) has not been operated before so that it must be considered now. The remnant intercept is 1/ i.e., the weight-average crystaUite... Figure 8.6. Separation of lattice distortions and crystallite size according to the Warren-Averbach principle applied to observed integral breadths Bobs s) of a set of WAXS peaks. Because the data are linearized in a plot of Bgbs the peak shape is (almost) Lorentzian and the predominant lattice distortions are of the second kind with mo = n d jL. The constant instrumental breadth B (determined separately) has not been operated before so that it must be considered now. The remnant intercept is 1/ i.e., the weight-average crystaUite...
As shown in Fig. 88, the amount of photodegraded nifedipine was proportional to the number of incident photons.403 Maximum photodegradation of nifedipine in tablets occurred at 420 nm (Fig. 89).404 On the other hand, the relationship between the discoloration rate of sulfisomidine in tablets irradiated by a mercury lamp versus ultraviolet light intensity was complex.405 The values of L, a, and b determined for the discoloration of the tablet depended on the energy of the mercury lamp.406 Photodegradation of menatetrenon yielded linear plots of log k versus the reciprocal of the illumination intensity, as shown in Fig. 90.407... [Pg.106]

The left-hand side of Eq. (4.4.12) contains the desired optimized parameter values and the right-hand side consists entirely of measured (yobs) and calculable (W-1 and B) quantities, provided that the columns of B are linearly independent (determinant of 0) so that W-1 exists. [Pg.250]

III.33 Consider the three storage tanks in Figure PHI. 1. For each of these systems, (a) develop the transfer functions between the liquid levels and the inlet streams, (b) determine the time constants and process static gains, and (c) determine which of the three systems have constant and which variable time constants and process gains. Assume that the flow rates of all free effluent streams are linear functions of the corresponding liquid levels [Flowrates in figure are steady state values]... [Pg.124]

The resulting equation gives the linear form Z as a function of v and y. One experiment gives a set of values for Z,, v. and y, which permits the calculation of a, b, and c to give the best fit of the curve. Constant a gives the linearization constant K, b determines the melting point of the pure substance. 7 and thus the impurity.. Yg. can be calculated from c. The total area need not be... [Pg.659]

Figure 2. Composition of the spinel-type phases obtained eifter heating the Cu/Cd/Cr precipitate at 753K in air (A) or in vacuum (B), determined hy linear interpolation on the basis of the a values ( ) [CuCr204 cubic ICDD 26-509 and CdCr204 ICDD 2-1000] or by quantitative XRD ( ) or chemical (O) analyses. Figure 2. Composition of the spinel-type phases obtained eifter heating the Cu/Cd/Cr precipitate at 753K in air (A) or in vacuum (B), determined hy linear interpolation on the basis of the a values ( ) [CuCr204 cubic ICDD 26-509 and CdCr204 ICDD 2-1000] or by quantitative XRD ( ) or chemical (O) analyses.
The piecewise linear function defined by these three relations is represented in fig. 4.25. Three parameters control this map the value M corresponds to the maximum level of substrate reached at the beginning of the active, bursting phase, i.e. at the top of the first peak in )3 parameter a measures the quantity of substrate consumed by the synthesis of each peak of /3 finally, the slope b of the median portion of the linear map determines the value of the minimum m that corresponds to the substrate level reached in the last peak of the volley, at the end of the active phase of bursting. Determining the intersection of the segments defined by eqns (4.5a,b) yields ... [Pg.149]

Fig. 1.5. A The angular momentum of a particle constrained to move on a circle in the xy plane and with the center at the origin of the coordinate system. B Determination of the angular momentum about the z-axis for a particle free to move in the xy plane. The linear momentum vector p is decomposed in components in the radial and tangential directions Lj = rjty x P - C Determination of the angular momentum about the z-axis for a particle free to move in three dimensions The linear momentum vector p is decomposed in components along the z-axis and in a horizontal plane parallel to the xy plane, p is then further decomposed in radial and tangential directions Lz = rxy... Fig. 1.5. A The angular momentum of a particle constrained to move on a circle in the xy plane and with the center at the origin of the coordinate system. B Determination of the angular momentum about the z-axis for a particle free to move in the xy plane. The linear momentum vector p is decomposed in components in the radial and tangential directions Lj = rjty x P - C Determination of the angular momentum about the z-axis for a particle free to move in three dimensions The linear momentum vector p is decomposed in components along the z-axis and in a horizontal plane parallel to the xy plane, p is then further decomposed in radial and tangential directions Lz = rxy...
Krajewski, B., "Determination of Turbulent Velocity Field in a Recti-linear Duct with Non-Circular Cross Section", Int. J. Heat Mass Transfer, 13, 1819 (1970)... [Pg.197]

Figure 8.9 Plots of values (including the sign) of residuals (Y — Yp ) vs x, where Yp is the value of Y predicted from the sinqtle linear model (Y = A + B.x) with A and B determined by simple hnear regression, for three impotant causes of significant values of the residual variance V. Note that in the case of nonlinearity of the data (i.e., inapplicabiUty of Equation [8.19a] to this data set) the plot could just as well be concave upwards. A sufficiently high degree of itreproducibihty can mask the other two if present It is possible to observe nonlinearity of heteroscedastic data if the latter effect is not too extreme. Reproduced fi om Meier and Ziind, Statistical Methods in Analytical Chemistry, 2nd Edition (2000), with permission of John Wiley Sons Inc. Figure 8.9 Plots of values (including the sign) of residuals (Y — Yp ) vs x, where Yp is the value of Y predicted from the sinqtle linear model (Y = A + B.x) with A and B determined by simple hnear regression, for three impotant causes of significant values of the residual variance V. Note that in the case of nonlinearity of the data (i.e., inapplicabiUty of Equation [8.19a] to this data set) the plot could just as well be concave upwards. A sufficiently high degree of itreproducibihty can mask the other two if present It is possible to observe nonlinearity of heteroscedastic data if the latter effect is not too extreme. Reproduced fi om Meier and Ziind, Statistical Methods in Analytical Chemistry, 2nd Edition (2000), with permission of John Wiley Sons Inc.
Figure 3 Kinetics of the polymerization of the second block of P( zBA2o%- A8o%)loo- -P BA95. (a) First-order plot of the monomer conversion (O) followed by gas chromatography unsing z-decane as internal standard and fitted linearly (-). (b) Mn (0) and PDI (A), determined by SEC with polystyrene standards, vs conversion. The straight line corresponds to the theoretical molecular weight calculated from the initial monomer to initiator ratio and the conversion... Figure 3 Kinetics of the polymerization of the second block of P( zBA2o%- A8o%)loo- -P BA95. (a) First-order plot of the monomer conversion (O) followed by gas chromatography unsing z-decane as internal standard and fitted linearly (-). (b) Mn (0) and PDI (A), determined by SEC with polystyrene standards, vs conversion. The straight line corresponds to the theoretical molecular weight calculated from the initial monomer to initiator ratio and the conversion...

See other pages where Linear B determinant is mentioned: [Pg.315]    [Pg.341]    [Pg.342]    [Pg.342]    [Pg.315]    [Pg.341]    [Pg.342]    [Pg.342]    [Pg.131]    [Pg.628]    [Pg.238]    [Pg.286]    [Pg.101]    [Pg.660]    [Pg.208]    [Pg.314]    [Pg.326]    [Pg.185]    [Pg.631]    [Pg.626]    [Pg.28]    [Pg.13]    [Pg.31]    [Pg.567]    [Pg.65]    [Pg.355]    [Pg.105]    [Pg.386]    [Pg.53]    [Pg.886]    [Pg.275]    [Pg.186]    [Pg.152]    [Pg.15]   
See also in sourсe #XX -- [ Pg.11 , Pg.321 ]




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B determination

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