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We present an algorithm for the reliability-based seismic design of structures incorporating approximate performance estimation methods and structural optimization.
The structures of the compounds have been solved by direct methods and structural models have been obtained.
Over 60% of the studies employed a twin study design and a similar percentage utilized variance components methods and structural equation modeling (SEM) to derive their heritability values.
Initial lead structures are, in general, optimized in terms of affinity using iterative cycles comprising synthesis, biological evaluation, computational methods, and structural analysis.
The proposed methodology to assess life cycle cost and environmental impact can be used as a supporting tool in selection of efficient construction methods and structural materials over the lifetime of building.
Herein we describe our use of fragment screening methods and structural biology to quickly identify and elaborate an indazole fragment into a series of reversible MetAP2 inhibitors with <10 nM potency, excellent selectivity, and favorable in vitro safety profiles.
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The combination of homology methods, phylogenetics and structural methods provided a comprehensive computational characterization of PF13_0289 and extensive evidence that it is an ancestral metacaspase molecule with cysteine protease and CARD domains.
By integrating these homogenization methods with the stochastic finite element method and structural reliability methods, the reliability of composites can be investigated with a limit state function based on a chosen failure criterion.
The presence of human IGF-1 in purified plant extracts was confirmed by single and two dimensional electrophoresis methods and the structural elements of chloroplast-derived IGF-1 was further confirmed by mass spectrometer analysis.
This method shows the same effect as other structural methods, and reduces much structural material in comparison with the conventional design method.
However, there are few reports on systematic methods of identification and structural identification of transformation products.
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