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Individual structure-complexation

E-state indices, counts of atoms determined for E-state atom types, and fragment (SMF) descriptors. Individual structure-complexation property models obtained with nonlinear methods demonstrated a significantly better performance than the models built using MLR. However, the consensus models calculated by averaging several MLR models display a prediction performance as good as the most efficient nonlinear techniques. The use of SMF descriptors and E-state counts provided similar results, whereas E-state indices led to less significant models. For the best models, the RMSE of the log A- predictions is 1.3-1.6 for Ag+and 1.5-1.8 for Eu3+. [Pg.343]

Boron is unique among the elements in the structural complexity of its allotropic modifications this reflects the variety of ways in which boron seeks to solve the problem of having fewer electrons than atomic orbitals available for bonding. Elements in this situation usually adopt metallic bonding, but the small size and high ionization energies of B (p. 222) result in covalent rather than metallic bonding. The structural unit which dominates the various allotropes of B is the B 2 icosahedron (Fig. 6.1), and this also occurs in several metal boride structures and in certain boron hydride derivatives. Because of the fivefold rotation symmetry at the individual B atoms, the B)2 icosahedra pack rather inefficiently and there... [Pg.141]

The dependence of bond lengths and angles on associated torsional angles can be described by conformational geometry functions (CGF) which have the property of being approximately additive (L. Schafer et al. 1986G, in press, G). CGF additivity arises from the fact that the interactions encountered during torsional motion in a complex molecule can be approximately represented as the sum of the interactions encountered by individual structural components. For the case of ALA, for example, it is shown in Fig. 7.19 that... [Pg.202]

Interpretation of the spectroscopic data from the individual spectroscopic techniques is generally done as the data are amassed. When all of the data are available, it is useful for the participating scientists to integrate their respective data, which is discussed in more detail below. The overall elapsed time for the isolation and identification of a new impurity or degradation product is quite variable. The difficulty of the actual isolation and the structural complexity of the molecule both impinge on the process. On the basis of the author s experience. [Pg.129]

Figure 23-26 (A), (B) Arrangement of bacteriochlorophyll chromophores in the cyclic LH2 array of Rhodopseudomonas acidophila. The B850 subunits are gray while the B800 subunits are black. (C) Fluorescence-excitation spectra. Top trace, for an ensemble of LH2 complexes, other traces, for several individual LH2 complexes at 1.2K. Fine structure is evident for the B800 but not for the B850 chromophores. From van Oijen et al.299 with permission. Figure 23-26 (A), (B) Arrangement of bacteriochlorophyll chromophores in the cyclic LH2 array of Rhodopseudomonas acidophila. The B850 subunits are gray while the B800 subunits are black. (C) Fluorescence-excitation spectra. Top trace, for an ensemble of LH2 complexes, other traces, for several individual LH2 complexes at 1.2K. Fine structure is evident for the B800 but not for the B850 chromophores. From van Oijen et al.299 with permission.
Results from many different experimental approaches are beginning to coalesce to produce a three-dimensional picture of the ribosome that includes the location of its individual structural components and functional sites. The development of this picture has been especially challenging because the ribosome is large, fragile, and structurally complex and has resisted efforts to produce crystals that are capable of giving high-resolution structural information. [Pg.705]

In classical organic synthesis, the individual bonds in the target molecule are usually formed step by step. Starting from relatively simple starting compounds, the structural complexity in the molecule slowly increases in the course of the synthesis. Domino, or tandem, reactions are... [Pg.316]

In contrast to the use of individual DOM constituents, another approach involves the use of structurally complex mixtures of organic matter as substrates for enrichment. Gonzalez et al., (1996) assessed the composition of the bacterial community in seawater microcosms enriched with a HMW lignin mixture. Isolates recovered from these microcosms were used for design of whole genome and oligonucleotide probes, which were then used to characterize the composition of the microcosm community. Three isolates, two from y-Proteobacteria and one from the Roseobacter clade of a-... [Pg.353]

As discussed in the introduction, one important role of theory in studies of reaction mechanisms in inorganic chemistry is its ability to predict or reproduce the structure of individual inorganic complexes. This is useful where the complex being studied is an experimentally well-characterized species, as calculations can provide insight into the electronic structure and the bonding patterns of the complex and help to rationalize its reactivity based on these features. It is perhaps even more valuable, though, when the focus is on a species that has not been characterized experimentally. [Pg.472]

The reconstruction of individual structures can be a model for the development of individual cells, but not for multicellular systems such as embryos. In this case, a model must be capable of performing in parallel a plurality of reconstructions, while taking into account a variety of interactions between individual structures. What must be simulated is an increase of information between initial and final structures, and on this point the reconstruction model is crystal clear. The difference between initial and final information, and therefore the overall increase of complexity in the system, is entirely dependent on the memories which are used in a reconstruction, because it is only in the memory space that new information appears. [Pg.206]

Qualitative models simplify. They usually consider only a few, if not just one, of the many effects that are present and are interacting in a most complex way. The measure of the success of a qualitative model is in its ability to create consistent patterns for interpreting individual structures and structural variations in a series of molecules and, above all, in its ability to correctly predict the structures of molecules, not yet studied or not even yet prepared. [Pg.140]


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Individual structures

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