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Chiral error function

Distances for each atom pair are randomly chosen between their lower and upper bounds. These distances are then converted into three-dimensional coordinates and refined against a simple error function made up of contributions from upper and lower bound violations and chiral constraint violations to ensure that the structure meets all distance and chiral constraints. The details of converting the distance matrix to three-dimensional coordinates are beyond the scope of this chapter but are provided in Crippen s text (126) and in an upcoming review article (133). [Pg.25]

The first term reflects the violation of the distances from the constraint ranges, whereas any configuration of a particular chiral center is specified by the second term of the error function. [Pg.56]

During the optimisation of the structure against the distance constraints it is usual to incorporate chiral consiraints. These are used to ensure that the final conformation is the desired stereoisomer. Chiral constraints are necessary because the interatomic distances in two enantiomeric conformations are identical and as a consequence the wrong isomer may quite legitimately be generated. Chiral constraints are usually incorporated into the error function as a chiral volume, calculated as a scalar triple product. For example, to maintain the correct stereochemistry about the tetrahedral atom number 4 in Figure 9,16, the following scalar triple product must be positive ... [Pg.473]

Optimizing these coordinates versus an error function which measures the total violation of the distance and chirality constraints, usually by some form of simulated annealing. [Pg.728]

With regard to the chiral recognition by crown ethers D. J. Cram kindly informed us that the EDC value of 38 (footnote b, Table 67) proved to be in error, and that the reported RR-S configuration in Table 68, footnote d and page 403, is still uncertain. Recent work (Peacock et al., 1980) has shown that the chiral recognition of amino acids (page 397 and Table 69) is comparable to that of amino-acid esters. The peculiar optimum in EDC values as a function of acetonitrile concentration (page 401 and Table 72) could not be duplicated. [Pg.424]

While the answer to this question is uncertain, there have been some interesting developments in this area. It has been shown that life (as it exists today anyway) cannot arise from a racemic mixture of amino acids because the presence of chiral centers in many biomolecules is crucial for biological function. The self-replication of DNA relies on the presence of chiral centers and without a shared chirality, the error rate in DNA replication would cause severe problems for many longer-lived plants and animals. One hypothesis for the origin of chirality is that molecules from outer space reached Earth with a net chirality already present. Another is that the net chirality in amino acids was established on Earth in a very short period of time. It s a pretty interesting thing to think about, and this topic is a subject of ongoing research and debate. [Pg.115]

As a first example of the predictive capabilities of these functionals, we show in O Fig. 24-7 calculated first-order optical transitions, En as a function of the corresponding experimental values in a set of five semiconducting and five metallic chiral nanotubes. AH non-hybrid functionals employed here (LDA, PBE, and TPSS) underestimate En in metallic tubes by approximately 0.3 eV. This error is comparable to the error for En in semiconducting tubes. The best overall performance is achieved by the hybrids TPSSh and HSE, which yield comparable first-order transitions in the case of metallic SWNTs. [Pg.914]


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