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By a random search

Morse clusters are a potentially more interesting benchmark model system, offering an additional parameter to tune the interaction distance. They were used by Roberts et al. [64] to verify the correct functioning of their EA implementation, up to =50 better performance than by a random search was also demonstrated. [Pg.40]

In 1969, Levinthal posed his famous paradox pointing out that the configurational space of a polypeptide chain is so large that it can never find its native conformation by a random search. Evolution has apparently selected polypeptide chains that find their native fold reliably and quickly. Their free-energy landscapes exhibit minimal ruggedness and the overall shape of a funnel with only shallow local minima. [Pg.54]

A double trial-and-error procedure is used to determine o and Tq. This is done by a random search in a sample program. Code for Example 9.5. Simnltaneons satisfaction of the boundary conditions for concentration and temperature was aided by using an ontput response that combined the two errors. Resnlts are shown in Figure 9.10. [Pg.348]

The control group was obtained by a random search of the case record index of similar patients treated by the same clinicians in Vale of Leven Hospital over the last 10 years. For each treated patient, 10 controls were found of the same sex, within 5 years of the same age, and who had suffered from cancer of the same primary organ and histological tumor type. These 1000 cancer patients comprise the control group. [Pg.588]

The renaturation process of globular proteins takes place within 10 and 10" seconds. Internal molecular rotations are known to be in the order of 10 seconds Taking into account only three energetically favorable conformational states for each amino acid, a relatively small protein of 150 residues can potentially adopt more than 10 conformations. A comparison of these figures illustrates in an impressive manner that the time available to a protein for the folding process is by far not sufficient to find the energetically most favorable conformation by a random search mechanism. [Pg.203]

The two scientists reahzed that there were small prospects of success by a random search for new elements in the huge amount of waste rock. Instead, they decided to dissolve a certain quantity in acid and examine the solution with the separation methods known from classical chemical analysis. The unknown elements would then be enriched in those fractions with which they have a chemical similarity. With the ionization chamber, they could measure the radioactivity of the different fractions. It was hard work in a damp room of a shed near Pierre s School of Physics, more like a barn or a potato-cellar than a laboratory. [Pg.1184]

Flow chart steps Jbllowed by a random conformational search. [Pg.482]

The energy differences among conforiiiers relative to the ground state are 0.0, 0.85, 1.62, and 3.32 kcal mol . The relative populations of the states, judged by the number of times they were found in a random search or 50 trials, are 0.16, 0.21, 0.15, and 0.08 when degeneracy is taken into account. In the limit of ver y many runs, a Boltzmann distr ibution would lead us to expect a ground state that is much more populous than the output indicates, but this sample is much too small for a statistical law to be valid. [Pg.160]

To obtain statistically significant comparisons of ordered and disordered sequences, much larger datasets were needed. To this end, disordered regions of proteins or wholly disordered proteins were identified by literature searches to find examples with structural characterizations that employed one or more of the following methods (1) X-ray crystallography, where absence of coordinates indicates a region of disorder (2) nuclear magnetic resonance (NMR), where several different features of the NMR spectra have been used to identify disorder and (3) circular dichroism (CD) spectroscopy, where whole-protein disorder is identified by a random coil-type CD spectrum. [Pg.50]

Notice how the conversation above reveals that the system has made an attempt to reason logically by finding out what the user considers to be important before it makes any recommendations. This approach is much more productive than a random search in which the interaction might run as follows ... [Pg.207]

A systematic review of randomized controlled trials has been performed to determine whether dexamethasone therapy in the first 15 days of life prevents chronic lung disease in premature infants (14). Studies were identified by a literature search using Medline (1970-97) supplemented by a search of the Cochrane Library (1998, Issue 4). Inclusion criteria were (a) prospective randomized design with initiation of dexamethasone therapy within the first 15 days of life (b) report of the outcome of interest and (c) less than 20% crossover between the treatment and control groups during the study period. The primary outcomes were mortality at hospital discharge and the development of chronic lung disease at 28 days of life and 36 weeks postconceptional age. The secondary outcomes were the presence of a patent ductus... [Pg.5]

SCAMPI reads multiple MOL2 files containing structures and a data file containing the biological activities. The conformational expansion of the molecules is done by applying random search techniques, with no post-clustering. This search is performed in Cartesian and internal coordinate space. [Pg.41]

This problem contains 31 variables and 29 equality constraints (or governing equations) including the objective function. This gives rise to 2 variables as independent (or decision) variables. For a practical reason, the saturation pressure for steam, P, and the fraction of steam generated in the evaporator, which is reused for heating, a.., are selected as the independent variables. A random search technique (26) is adopted to locate the optimal point for each given e. The results are tabulated in Table I, and the trade-off curve is plotted in Figure 3. The relationship between these two objectives is obtained by the least square method as... [Pg.314]

The dumbest of these search methods by some distance is one in which colours are chosen for matching completely at random. In a random search (Fig. 2a) a colour is chosen blindly from the wheel for comparison with the paint chip. If the colours match, the search is over, but if there is no match, another colour is chosen at random and the process is repeated. This kind of search has almost no merit beyond simplicity. Even in the small search space of this problem it is inefficient, while for large spaces the probability of success falls to near zero. Furthermore, the search may revisit points it has already checked, which is unproductive. (This is avoided in a TABU search, in which a tally is kept of points previously visited, but maintaining a TABU list adds computational overhead which becomes increasingly onerous as the search progresses and cannot pretend to rescue what is a very poor method.)... [Pg.7]

In a random search there can be no assurance that the correct match will ever be found, unless an infinite amount of time is available for looking. By contrast, an exhaustive search (Fig. 2b), in which each point is checked systematically, can at least provide this guarantee, but is still inefficient, except when the search space is small, or on those occasions when the required colour lies close to the starting point of the search. [Pg.7]

This illustrates the principal drawback of the point-detector instrument, that is, the operator caimot see the whole diffraction pattern but can only probe it at different points. For example, if the structure contains one outstandingly heavy atom with the coordinate x = 0.5, all reflections with the even index h will be systematically stronger than those with odd h. In this case, a random search may miss the latter reflections altogether and the cell parameter a that is found by the autoindexing will be half the value of the real one. The data collection routine based on such parameters will miss half of the reflections, without which it will be impossible to determine the structure. [Pg.1121]

Because they employ a random search technique, OSA routines do not require (or deduce) any functional derivative information. Thus, they are unaffected by the type of nonlinearities that cause problems to other optimization routines. [Pg.211]

Because they employ a random search technique, OSA routines identify families of near-optimum LPs that can be further examined by the reload core designer for soft attributes and utilized to quantify the cost of constraint margin. [Pg.211]


See other pages where By a random search is mentioned: [Pg.49]    [Pg.213]    [Pg.10]    [Pg.49]    [Pg.213]    [Pg.10]    [Pg.482]    [Pg.371]    [Pg.219]    [Pg.323]    [Pg.167]    [Pg.303]    [Pg.183]    [Pg.404]    [Pg.411]    [Pg.165]    [Pg.230]    [Pg.50]    [Pg.250]    [Pg.631]    [Pg.71]    [Pg.90]    [Pg.251]    [Pg.10]    [Pg.23]    [Pg.1120]    [Pg.48]    [Pg.119]    [Pg.1161]    [Pg.908]    [Pg.318]    [Pg.214]    [Pg.348]    [Pg.408]   
See also in sourсe #XX -- [ Pg.194 , Pg.206 ]




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