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Molecular code surface

The goal of present numerical code development is, therefore, to treat all the other, predictable, physical components of the model accurately. This applies, in particular, for the atomic, molecular and surface processes, which largely control the plasma flow and plasma energy content in the important near target region. If that can be achieved, then the unknown anomalous cross field transport can be separated and isolated computationally, and can then perhaps be determined experimentally even in the edge region. [Pg.31]

Shape codes [43,109,196,351,408]. The simplest topological shape codes derived from the shape group approach are the (a,b) parameter maps, where a is the isodensity contour value and b is a reference curvature against which the molecular contour surface is compared. Alternative shape codes and local shape codes are derived from shape matrices and the Density Domain Approach to functional groups [262], as well as from Shape Globe Invariance Maps (SGIM). [Pg.186]

In a series of articles Mezey and Arteca studied topological properties of molecular surfaces in order to quantify molecular shape. " They characterized the shape by considering curvatures of portions of the molecular surface that have distinct topological properties. We will focus attention on a characterization of the molecular shape by binary molecular codes. Instead of considering the general problem of molecular shapes, we will consider a simpler task, namely, the characterization of the shapes of planar benzenoids. It will be revealed that the approach applies to the characterization of the shape of an arbitrary closed planar curve. A satisfactory code for the periphery of a simple benzenoid should be linear, have structural origin, be simple, have similar lengths for objects of similar size, be unique, and should allow reconstruction. [Pg.215]

Programs using atom-centered basis functions such as CRYSTAL (378,379) and SIESTA (380,381) have the advantage that it is possible to use 2D simulations to generate surfaces and if 3D slabs are to be used, the vacuum gap has little influence on the calculation time and so is essentially arbitrary. Choosing the basis set in these programs requires multiple atomic functions (s, p, d,...) per atomic orbital, much as in molecular codes. However, the basis functions used are usually specific to the solid state and provided as libraries by the code authors or fitted to reference data by the user. [Pg.1506]

To display properties on molecular surfaces, two different approaches are applied. One method assigns color codes to each grid point of the surface. The grid points are connected to lines chicken-wire) or to surfaces (solid sphere) and then the color values are interpolated onto a color gradient [200]. The second method projects colored textures onto the surface [202, 203] and is mostly used to display such properties as electrostatic potentials, polarizability, hydrophobidty, and spin density. [Pg.135]

Figure Bll.1.1 represents a 3T3 cell stained with BODIPY FL C5-ceramide (from Molecular Probes), a specific stain for the Golgi apparatus The color coding for the lifetimes is from 0 to 5 ns. The lifetime is coded in color (right upper) and this color-coded lifetime information is mapped onto the intensity surface (upper left) to give the combined lifetime/intensity plot (lower right). The final combined image shows intensity contours (in white), and a lit intensity surface is employed to accentuate the information in a three-dimensional form. Figure Bll.1.1 represents a 3T3 cell stained with BODIPY FL C5-ceramide (from Molecular Probes), a specific stain for the Golgi apparatus The color coding for the lifetimes is from 0 to 5 ns. The lifetime is coded in color (right upper) and this color-coded lifetime information is mapped onto the intensity surface (upper left) to give the combined lifetime/intensity plot (lower right). The final combined image shows intensity contours (in white), and a lit intensity surface is employed to accentuate the information in a three-dimensional form.
Fig. 5. Three views of the NCP from Harp et al. [31]. (a) Ventral surface view, (b) Side view, (c) View down the molecular pseudo-dyad axis. The histones are represented by Ca ribbon models of the secondary structure elements, and the DNA model indicates the base pairing between complementary strands. The DNA is positioned asymmetrically by one-half base pair on the NCP. This results in a two sides arbitrarily referred to a dorsal and ventral (the surface shown here). The ventral surface of the NCP is best recognized by the extended N-terminal H3 tail protruding to the right. In these images, the pseudo-dyad axis is represented by vertical bars for both the ventral and side view. The pseudo-dyad axis passes through the center of the dyad view orthogonal to the plane of the page, (d) Color code for histone chains in the figures in this chapter. Note the change in hue denoting the two sides of the histone octamer. Fig. 5. Three views of the NCP from Harp et al. [31]. (a) Ventral surface view, (b) Side view, (c) View down the molecular pseudo-dyad axis. The histones are represented by Ca ribbon models of the secondary structure elements, and the DNA model indicates the base pairing between complementary strands. The DNA is positioned asymmetrically by one-half base pair on the NCP. This results in a two sides arbitrarily referred to a dorsal and ventral (the surface shown here). The ventral surface of the NCP is best recognized by the extended N-terminal H3 tail protruding to the right. In these images, the pseudo-dyad axis is represented by vertical bars for both the ventral and side view. The pseudo-dyad axis passes through the center of the dyad view orthogonal to the plane of the page, (d) Color code for histone chains in the figures in this chapter. Note the change in hue denoting the two sides of the histone octamer.
In order to visualize the results of MLP calculations for a given set of parameters and molecules, a LipoDyn output file for the molecular surface can be color-coded by the MLP values and displayed in VRML 2.0 format... [Pg.221]

Feldmann and others have developed a series of teaching tools for macromolecular structure using color-coded molecular graphics-derived images 24 28). Connolly and others have improved upon this approach by clearly showing which portions of the protein surface are indeed accessible to a water molecule, as opposed to those portions which are inaccessible, such as in clefts, etc 27). Images based on the Connolly methods directly show those regions of the protein surface which can be expected to interact with other molecules. It provides immediate, comprehensible information about steric complimentarity. [Pg.11]


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See also in sourсe #XX -- [ Pg.160 ]




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