Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Analyzing Structures

The standard procedure is to optimize the fragment with Momec3, and then take the resulting structure and iteratively build the molecule in the desired conformation. [Pg.237]


WebMol JAVA PDB viewer to display and analyze structural information. [Pg.499]

Despite the difficulties in extracting and identifying colorless catabolic products that are extremely labile and detectable only in trace amounts, several of the mysteries of chlorophyll catabolism have been revealed and about 14 non-fluorescent chlorophyll catabolytes (NCCs) from higher plants, mainly in senescent leaves, have been detected and analyzed structurally. Among them, NCCs from rapeseed (Bms-sica napus) from Liquidambar styraciflua, from Cercidiphyllum japonicum, five NCCs from degreened leaves of spinach Spinacia oleracea) and, more recently, two NCCs from tobacco Nicotiana rusticd) and five NCCs from Arabidopsis thaliana have been identified. [Pg.440]

For analyzing structure-property relationships, a variety of PEO-g-PVA copolymers were prepared, differing in the VAc-to-PEO ratio and the molar mass of PEO. The analysis of the copolymers by IR and 1H- and 13C-NMR showed the presence of both PEO and PVA. A small C=0 absorption was still present and was explained by a nonquantitative saponification. SEC showed polydispersities (Mw/M ) of around 5, with a small tailing to the low molar mass side. The latter was probably caused by the relatively low molar mass PVA homopolymer formed by the chain transfer reaction of VAc, both to the PEO and its acetate functionality. [Pg.402]

Moreover as long as the method is applied to a scattering intensity curve , i.e., a ID section in reciprocal space, the analyzed structure is a projection of the correlation function on the respective direction, i.e., an average over planes perpendicular to the direction of file section. [Pg.125]

Although the finite element method can provide the most accurate means for analyzing structures for blast loads, the uncertainty associated with determination of loads generally does not justify its use. Also, the effort associated with finite element model development and interpretation of results is often greater that what is required by the simplified methods outlined above. The simpler SDOF based analytical methods are recommended for use except in those cases, as described above, where the inaccuracies associated with SDOF approximations may be unacceptable. [Pg.48]

But if taking into account the universality of spatial-energy interactions in nature, this evaluation can be significant for analyzing structural rearrangements in complex bio-physicochemical processes (this will be further shown on the example of photosynthesis). [Pg.112]

These studies showed that sulfonate groups surrounding the hydronium ion at low X sterically hinder the hydration of fhe hydronium ion. The interfacial structure of sulfonafe pendanfs in fhe membrane was studied by analyzing structural and dynamical parameters such as density of the hydrated polymer radial distribution functions of wafer, ionomers, and protons water coordination numbers of side chains and diffusion coefficients of water and protons. The diffusion coefficienf of wafer agreed well with experimental data for hydronium ions, fhe diffusion coefficienf was found to be 6-10 times smaller than the value for bulk wafer. [Pg.361]

To analyze structure/function relationship of different elements within the GRR, we studied the function of different deletion and point mutants. The human pi05 GRR contains 19 Gly residues (out of 29 residues in total 376-GGGSGAGAGGGGMFGSGGGGGGTGSTGPG-404), two of which are interspaced by Ala (380-GAGAG-384). Deletion analysis revealed that only 6 (382-GAGGGGMFGS-391) Gly residues are sufficient to promote, at least partially, generation of p50. Importantly, the Ala residue is essential (16). [Pg.85]

The accuracy achieved through ab initio quantum mechanics and the capabilities of simulations to analyze structural elements and dynamical processes in every detail and separately from each other have not only made the simulations a valuable and sometimes indispensable basis for the interpretation of experimental studies of systems in solution, but also opened the access to hitherto unavailable data for solution processes, in particular those occurring on the picosecond and subpicosecond timescale. The possibility to visualize such ultrafast reaction dynamics appears another great advantage of simulations, as such visualizations let us keep in mind that chemistry is mostly determined by systems in continuous motion rather than by the static pictures we are used to from figures and textbooks. It can be stated, therefore, that modern simulation techniques have made computational chemistry not only a universal instrument of investigation, but in some aspects also a frontrunner in research. At least for solution chemistry this seems to be recognizable from the few examples presented here, as many of the data would not have been accessible with contemporary experimental methods. [Pg.172]

In the literature Raman spectroscopy has been used to characterize protein secondary structure using reference intensity profile method (Alix et al. 1985). A set of 17 proteins was studied with this method and results of characterization of secondary structures were compared to the results obtained by x-ray crystallography methods. Deconvolution of the Raman Amide I band, 1630-1700 cm-1, was made to quantitatively analyze structures of proteins. This method was used on a reference set of 17 proteins, and the results show fairly good correlations between the two methods (Alix et al. 1985). [Pg.150]

In Chapters 12 and 13, it will.be seen how the transition state theory may be used quantitatively in enzymatic reactions to analyze structure reactivity and specificity relationships involving discrete changes in the structure of the substrate. In Chapters 18 and 19, transition state theory is similarly applied to protein folding. [Pg.366]

How can. T-distortivity be induced in species which do not normally exhibit bond alternation, e.g., benzene What are the possible manifestations of a latent T-distortivity We already mentioned a few spectroscopic probes of distortivity.99,131 This section analyzes structural probes of T-distortivity in the ground states of delocalized molecules. [Pg.21]

Carhart et al. [15] described a generalized structural descriptor called an atom pair which is defined in terms of the atomic environments of, and shortest path separation between, all pairs of atoms in the topological representation of a chemical structure. A similar descriptor has been suggested by Klopman [16]. More recently, Judson [20] described a more sophisticated approach to analyze structural feature of molecules for structure-activity studies. [Pg.107]

ACV synthetase presents a suitable model system to analyze structure-function relations in NRPS systems [89], Here we have focused on the current state of understanding and interpretation of structure-function relations of ACV synthetases. These aspects are of importance for the future development of nonribo-somal peptide-forming systems, especially in filamentous fungal hosts. Other major aspects of process analysis and metabolic engineering approaches to improve the yield of antibiotic fermentations have not been discussed. These process aspects include the following four approaches. [Pg.29]

Solution of condensed-phase heat transfer equation is needed to analyze structural response to fires and simulate flame spread on solid surfaces. The solution of this conjugate heat transfer problem simulate is typical for fires, but rarely found in commercial CFD packages. Over the years, different techniques have been developed to tackle this problem. Since solid-phase heat transfer... [Pg.562]

Reexpressing Data in Alternate Bases to Analyze Structure.382... [Pg.379]

REEXPRESSING DATA IN ALTERNATE BASES TO ANALYZE STRUCTURE... [Pg.382]

The Structure module of MOMEC enables you to analyze structures that have been saved as. hin files. These can be structural data files from experimental work, from a data base (e.g. the CSD) or computed structures such as those optimized with MOMEC. The geometric parameters accessible include the calculation of a least-squares plane (defined by three or more points), the distance of atoms from this plane, the angle between a vector such as a metal-ligand bond and a plane, that between two planes, e. g., for the measure of a trigonal twist angle or a tetrahedral twist angle. In this lesson, we will analyze the structures of the four conformers of [Co(en)3]3+ considered in Sections 17.3, 17.4 and 17.5. [Pg.226]


See other pages where Analyzing Structures is mentioned: [Pg.584]    [Pg.406]    [Pg.504]    [Pg.120]    [Pg.281]    [Pg.27]    [Pg.610]    [Pg.195]    [Pg.302]    [Pg.680]    [Pg.890]    [Pg.229]    [Pg.47]    [Pg.51]    [Pg.153]    [Pg.93]    [Pg.365]    [Pg.538]    [Pg.311]    [Pg.181]    [Pg.243]    [Pg.31]    [Pg.209]    [Pg.39]    [Pg.380]    [Pg.165]    [Pg.135]    [Pg.1]    [Pg.226]    [Pg.227]    [Pg.254]    [Pg.555]    [Pg.197]   


SEARCH



© 2024 chempedia.info