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Superpositions of structures

Fig. 8 Bound conformations of the hexapeptide DRPVPY. Superposition of structures was performed within Insight II and is based on the backbone atoms of residues 4-6. A Family of 27 structures calculated using trNOE-derived restraints only. B Average of the 27 structures in panel A. Reproduced with permission from [125]. 2002 American Chemical Society... Fig. 8 Bound conformations of the hexapeptide DRPVPY. Superposition of structures was performed within Insight II and is based on the backbone atoms of residues 4-6. A Family of 27 structures calculated using trNOE-derived restraints only. B Average of the 27 structures in panel A. Reproduced with permission from [125]. 2002 American Chemical Society...
In Figure 5, we present a stereoview of the superposition of structures A", B and C" obtained when all atoms were included in the structural comparison. In Figure 5, we also present a stereoview of the superpositions of these three structures when unconstrained exocyclic groups were excluded from the comparison. [Pg.259]

Characterization of the structures of these products is facilitated by the study carried out on the model compounds. In the infrared spectra, characteristic N—H absorptions are found at 3320 cm.-1 and of C=0 at 1705 cm.-1, with a shoulder at 1650 cm.-1 (C=C). The NMR spectrum in CC14 confirms the unsaturated nature of the products through the existence of a mass of peaks at t = 5.0 probably caused by the superposition of Structures E. The presence of the structural units E4 cannot be confirmed with certainty because of the unsatisfactory quality of the NMR spectrum. However, the infrared spectrum of the product reduced with LAH shows the presence of C=CH2. This reduced product is slightly soluble in aqueous acids from which it precipitates on adding ammonia its solubility in organic solvents is very much less than that of the previous product, and it was not possible to study it by NMR. [Pg.445]

Because of the superposition of structures in the typical 50-nm thin section, resolution of individual nucleosomes and linker DNA segments in chromatin in situ cannot usually be achieved with single micrographs. Complete three-dimensional reconstruction of tomographic data sets is described by Belmont (see Chapter 6 of this volume), and has been successfully completed for chicken erythrocyte and echinoderm sperm nuclei with OA-B-stained Lowicryl sections (Horowitz et al, 1994). [Pg.175]

Fig. 1 shows the ND patterns for the H2O and D2O dep-ice, and after annealing to 185 and 255 K (for D2O sample). The data represents the superposition of structure factors fi om tiie ice and aluminum sample-can (maximum d-spacing for A1 is 2.34 A). The position of the right-most peak for dep-ice sample is equal to d3.7 A, which is in good agreement with the literature data for Ida-ices [1,2-5,7]. [Pg.306]

The catalytic subunit of cAPK contains two domains connected by a peptide linker. ATP binds in a deep cleft between the two domains. Presently, crystal structures showed cAPK in three different conformations, (1) in a closed conformation in the ternary complex with ATP or other tight-binding ligands and a peptide inhibitor PKI(5-24), (2) in an intermediate conformation in the binary complex with adenosine, and (3) in an open conformation in the binary complex of mammalian cAPK with PKI(5-24). Fig.l shows a superposition of the three protein kinase configurations to visualize the type of conformational movement. [Pg.68]

Fig. 1. Superposition of three crystal structures of cAMP-dependent protein kinase that show the protein in a closed conformation (straight line), in an intermediate conformation (dashed line), and in an open conformation (broken line). The structures were superimposed on the large lobe. In three locations, arrows identify corresponding amino acid positions in the small lobe. Fig. 1. Superposition of three crystal structures of cAMP-dependent protein kinase that show the protein in a closed conformation (straight line), in an intermediate conformation (dashed line), and in an open conformation (broken line). The structures were superimposed on the large lobe. In three locations, arrows identify corresponding amino acid positions in the small lobe.
MJ Sutcliffe, I Haneef, D Carney, TL Blundell. Knowledge based modelling of homologous proteins. Part I Three dimensional frameworks derived from the simultaneous superposition of multiple structures. Protein Eng 1 377-384, 1987. [Pg.304]

Figure 3.S Schematic diagram of packing side chains In the hydrophobic core of colled-coll structures according to the "knobs In holes" model. The positions of the side chains along the surface of the cylindrical a helix Is pro-jected onto a plane parallel with the heUcal axis for both a helices of the coiled-coil. (a) Projected positions of side chains in helix 1. (b) Projected positions of side chains in helix 2. (c) Superposition of (a) and (b) using the relative orientation of the helices In the coiled-coil structure. The side-chain positions of the first helix, the "knobs," superimpose between the side-chain positions In the second helix, the "holes." The green shading outlines a d-resldue (leucine) from helix 1 surrounded by four side chains from helix 2, and the brown shading outlines an a-resldue (usually hydrophobic) from helix 1 surrounded by four side chains from helix 2. Figure 3.S Schematic diagram of packing side chains In the hydrophobic core of colled-coll structures according to the "knobs In holes" model. The positions of the side chains along the surface of the cylindrical a helix Is pro-jected onto a plane parallel with the heUcal axis for both a helices of the coiled-coil. (a) Projected positions of side chains in helix 1. (b) Projected positions of side chains in helix 2. (c) Superposition of (a) and (b) using the relative orientation of the helices In the coiled-coil structure. The side-chain positions of the first helix, the "knobs," superimpose between the side-chain positions In the second helix, the "holes." The green shading outlines a d-resldue (leucine) from helix 1 surrounded by four side chains from helix 2, and the brown shading outlines an a-resldue (usually hydrophobic) from helix 1 surrounded by four side chains from helix 2.
Tom Blundell has answered these questions by superposing the Ca atoms of the two motifs within a domain with each other and by superposing the Ca atoms of the two domains with each other. As a rule of thumb, when two structures superpose with a mean deviation of less than 2 A they are considered structurally equivalent. For each pair of motifs Blundell found that 40 Ca atoms superpose with a mean distance of 1.4 A. These 40 Ca atoms within each motif are therefore structurally equivalent. Since each motif comprises only 43 or 44 amino acid residues in total, these comparisons show that the structures of the complete motifs are very similar. Not only are the individual motifs similar in stmcture, but they are also pairwise arranged into the two domains in a similar way since superposition of the two domains showed that about 80 Ca atoms of each domain were structurally equivalent. [Pg.76]

The canonical jelly roll barrel is schematically illustrated in Figure 16.13. Superposition of the structures of coat proteins from different viruses show that the eight p strands of the jelly roll barrel form a conserved core. This is illustrated in Figure 16.14, which shows structural diagrams of three different coat proteins. These diagrams also show that the p strands are clearly arranged in two sheets of four strands each P strands 1, 8, 3, and 6 form one sheet and strands 2, 7, 4, and 5 form the second sheet. Hydrophobic residues from these sheets pack inside the barrel. [Pg.335]

This method represents the most common and traditional application of computational tools to rational drug design. From a list of molecules of known activity, one can establish a 3D-pharmacophore hypothesis that is then transformed into a 3D-search query. This query is then used to search a 3D database for structures that fit the hypothesis within a certain tolerance. If the yield of active molecules is significant, then the query can be used to predict activities on novel compounds. In our situation, the enantiophore is built from the superposition of a list of sample molecules, which are all well separated on a given CSR Hence, the common features of this series of molecules can become a good enantiophore hypothesis for the enantiores-olution on this CSR... [Pg.110]

Quantum Cellular Automata (QCA) in order to address the possibly very fundamental role CA-like dynamics may play in the microphysical domain, some form of quantum dynamical generalization to the basic rule structure must be considered. One way to do this is to replace the usual time evolution of what may now be called classical site values ct, by unitary transitions between fe-component complex probability- amplitude states, ct > - defined in sncli a way as to permit superposition of states. As is standard in quantum mechanics, the absolute square of these amplitudes is then interpreted to give the probability of observing the corresponding classical value. Two indepcuidently defined models - both of which exhibit much of the typically quantum behavior observed in real systems are discussed in chapter 8.2,... [Pg.52]

Berry, R. S., J. Chew. Phys. 26, 1660, -electron structure of butadiene. Several methods including superposition of configurations. [Pg.351]

The resultant layer, with a total thickness of about 10 A, is electrically neutral. A crystal built up by the superposition of such layers would have the composition Si4AlaOi0(OH)2. It is very probable that the mineral pyrophillite, with this composition, has this structure. [Pg.507]

In contrast to single-crystal work, a fiber-diffraction pattern contains much fewer reflections going up to about 3 A resolution. This is a major drawback and it arises either as a result of accidental overlap of reflections that have the same / value and the same Bragg angle 0, or because of systematic superposition of hkl and its counterparts (-h-kl, h-kl, and -hkl, as in an orthorhombic system, for example). Sometimes, two or more adjacent reflections might be too close to separate analytically. Under such circumstances, these reflections have to be considered individually in structure-factor calculation and compounded properly for comparison with the observed composite reflection. Unobserved reflections that are too weak to see are assigned threshold values, based on the lowest measured intensities. Nevertheless, the number of available X-ray data is far fewer than the number of atomic coordinates in a repeat of the helix. Thus, X-ray data alone is inadequate to solve a fiber structure. [Pg.318]

Another example is provided by [30] anmlene. Longuet-Higgins and Salem have shown that the observed visible and UV absorption spectrum and, in particular, the NMR proton chemical shifts of this molecule are very difficult to reconcile with the symmetrical nuclear configuration (Dg ) suggested by the superposition of the Kekule-type resonance structures. The hypothesis of a bond-length alternation of symmetry removes this difficulty. This indicates that the resonance between Kekule-type structures should be very much impeded also in this molecule. [Pg.6]


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See also in sourсe #XX -- [ Pg.74 , Pg.77 ]




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Superpositions

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