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Of 2D structures

Full structure search can be developed by using similar approaches to those employed in the case of 2D structure search. Thus, some topological indices can be modified in such a way that they include geometrical information. For example, the global index given by Eq. (4) can be modified to Eq. (11), where are real interatomic distances. [Pg.314]

Figure 2.11 Plot of compounds developed for different target classes based on a principal components analysis (PCA) of 2D structure-based property fingerprints. Compounds are coded according to their target class (triangle, PDE square, 5HT receptor diamond, statin circle, F-quinoline antibiotics) and clinical status at the time (gray, ok yellow, clearance issue red,... Figure 2.11 Plot of compounds developed for different target classes based on a principal components analysis (PCA) of 2D structure-based property fingerprints. Compounds are coded according to their target class (triangle, PDE square, 5HT receptor diamond, statin circle, F-quinoline antibiotics) and clinical status at the time (gray, ok yellow, clearance issue red,...
It seems that, in contrast to the rod-like molecules, in the case of the bent-core molecules there are no special molecular prerequisites for the formation of 2D structures they are frequent and found for symmetric as well as asymmetric molecules, for molecules with strong and weak dipole moments - multiple terminal chains are also not required (see for example [6]). [Pg.284]

One of the common character formats or chemical nomenclature of a valence model which is recognizable by a number of 2D-structure drawing programs is SMILES (Weininger, 1988). A full SMILES language tutorial can be accessed at http // www.daylight.com/dayhtml/smiles/. The general rules for biochemical compounds are as follows ... [Pg.60]

Figure 4.14. Conversion of 2D structure into 3D structure. The 2D structure file from ISIS draw (stanley.skc) is converted into the 3D structure with WebLab Viewer Lite. It should be noted that the atomic coordinate file does not contain ATOM columns with residue ID. Figure 4.14. Conversion of 2D structure into 3D structure. The 2D structure file from ISIS draw (stanley.skc) is converted into the 3D structure with WebLab Viewer Lite. It should be noted that the atomic coordinate file does not contain ATOM columns with residue ID.
Figure 2.150. Ligprep is used for the rapid conversion of 2D structure files into accurate 3D models suitable for use in database screens and other applications. At the user s discretion Ligprep can generate multiple protonation states, enumerate chiralities, and generate tautomeric forms of the ligand... Figure 2.150. Ligprep is used for the rapid conversion of 2D structure files into accurate 3D models suitable for use in database screens and other applications. At the user s discretion Ligprep can generate multiple protonation states, enumerate chiralities, and generate tautomeric forms of the ligand...
Boulevard Vincent Auriol 75646 Paris Cedex 13, France Tel. 33-144-23-64-64, fax 33-144-23-64-65 Preparation and transfer of queries for DARC database searches. PCs. DARC Inhouse for maintaining databases of 2D structures on VAX. [Pg.394]

For characterization of 2D structures, molecular profiles are computed in the same way by the distance distribution moments of the topological distance matrix D. [Pg.321]

Fig. 15. The black-and-white 2D graphs that correspond to the structural topologies of 2D structural units observed in Cs2lVp (S04)3(H20)2 (M = Th, Np) (a), M (S04)2(H20)4 (M = U, Np, Pu) (b), (NH4)U (S04)2(H20)4 (c), and Am 2(S04)3(H20)8 (d). Black and white vertices symbolize M and SO4 polyhedra, respectively, number of edges between the vertices correspond to the number of O atoms shared between the respective polyhedra. Fig. 15. The black-and-white 2D graphs that correspond to the structural topologies of 2D structural units observed in Cs2lVp (S04)3(H20)2 (M = Th, Np) (a), M (S04)2(H20)4 (M = U, Np, Pu) (b), (NH4)U (S04)2(H20)4 (c), and Am 2(S04)3(H20)8 (d). Black and white vertices symbolize M and SO4 polyhedra, respectively, number of edges between the vertices correspond to the number of O atoms shared between the respective polyhedra.
One of the very interesting features of SACE machining is that not only drilling is possible, but the machining of 2D structures also. To date this feature has... [Pg.128]

The popular program, CONCORD, of Pearlman [4,20] was for a long time the most widely used method for converting large databases of 2D structures to 3D representations. The program is based on rules and a simplified force field method. It performs the following steps for model building ... [Pg.166]

All these structures can be viewed. More structures can be imported. The selected structures can be exported to any of the following viz. MOLFILE, SDFILE, SMILES, JTF, RDF, Marvin Document. The stractures can be modified as well. A query of 2D structure can also be placed to be searched within the database. For querying, MarvinSketch application from the JChem package is used. [Pg.73]

On the planar surface of silicon, the increase in the volume of the oxide is aeeommodated via free expansion of the film in the direction perpendicular to the Si/Si02 interface. Residual stresses due to the mismatch between the thermal expansion coefficients are concentrated in the oxide and directed in parallel to the plane (biaxial compressive stress). Their magnitude is estimated at —0.3 GPa for a 1-pm-thick film (Jaccodine and Schlegel 1966). In oxidation of a profiled Si surface, there appear additional stresses directed perpendicular to the silicon/oxide interface. These stresses strongly affect the oxidation kinetics of 2D structures (macropores, piUars, trenches, etc.) (Uematsu et al. 2002 Liu et al. 1992). The results obtained in studies of oxidation of nonplanar surfaces are also applicable to macroporous silicon. One fundamental feature of 2D oxidation (Kao et al. 1987, 1988) is that the oxidation rate of convex and concave silicon surfaces decreases. This retardation is more pronounced for concave surfaces. The oxide thickness strongly depends on the radius of... [Pg.388]

Fig. 9 Schematic for patterning of 2D structure (7) removed square area, (2) bar of a 2D structure constituted by six rows of macropores, (5) macropores, (4) trenches, (5) n -layer, and (6) substrate removed in opening of trenches and pores (Astrova et al. 2010b) (With kind permission from Springer Science + Business Media B.V) (b) Scanning electron microscope (SEM) image of a two-dimensional photonic crystal bar obtained by this technique (Reprinted figure with permission from (Dyakov et al. 2012). Copyright 2012 by the American Physical Society)... Fig. 9 Schematic for patterning of 2D structure (7) removed square area, (2) bar of a 2D structure constituted by six rows of macropores, (5) macropores, (4) trenches, (5) n -layer, and (6) substrate removed in opening of trenches and pores (Astrova et al. 2010b) (With kind permission from Springer Science + Business Media B.V) (b) Scanning electron microscope (SEM) image of a two-dimensional photonic crystal bar obtained by this technique (Reprinted figure with permission from (Dyakov et al. 2012). Copyright 2012 by the American Physical Society)...
The last few years have seen substantial interest in the development of database-searching systems for files of 3D structures. The atom coordinate information in such databases is obtained either experimentally, usually from the Cambridge Structural Database, which contains X-ray structures that have been reported in the published literature,or by the use of a struaure-builder, which is a computer program that calculates an approximate 3D structure from a 2D connection table. - The best known of such programs is CONCORD, which uses a knowledge base of rules that describe preferred molecular conformational patterns and a simplified force-field. CONCORD has been widely used for the conversion of both in-house and public databases of 2D structures to 3D form. [Pg.10]

In the earlier section on the Chemical Abstracts Service (CAS), we gave a brief overview of the range of similarity measures that are under investigation by Fisanick et al. and described the novel descriptors that these workers have developed for similarity searching in databases of 2D structures. Their studies have also involved both geometric and property based 3D similarity measures in all, a molecule is characterized by a maximum of no fewer than 3172 different features. [Pg.37]


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2D structures

Databases of 2D Structures

Description of Two-Dimensional (2D) Lattices and Structures

Similarity Searching in Databases of 2D Structures

Structures of 2D Meads Phases

Structures of 2D and 3D Me alloys

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