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A number of empirical and mechanistic methods have been proposed for multiphase flows.
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In the absence of abundant mechanistic findings, comparative evolutionary methods have been employed to show that evolutionary constraint within lncRNAs is generally low compared with protein-coding genes, even for closely related species (Ponjavic et al. 2007; Marques and Ponting 2009).
Based on our mechanistic work, effective catalytic oxyfunctionalization methods have been developed by employing Ti, V, Re, Mn or Cr complexes as catalysts for the chemo-, regio-, diastereo- and enantioselective synthesis of hydroxy epoxides (from olefins), sulfoxides (from sulfides), and silanols (from silanes).
Immunologists understanding of the mechanisms of action of the immune system have shown such mechanistic associations [ 10– 12], and statistical methods have been developed seeking to demonstrate causal associations [ 13– 16].
Several protein structure- and sequence-based computer methods have been explored for mechanistic study and prediction of resistance mutations.
Various methods have been proposed to identify and describe the mechanistic underpinning of asthma and complex airway disease endotypes.
Machine-learning methods have been suggested as means to express the stressor response relationships that are found when applying mechanistic water quality models.
Both methods have merit.
Mechanistic methods, e.g. finite element models, have been proposed as a tool to better predict bone mechanical behaviour and strength.
Thus, it is important to also investigate pathways of nanoparticle uptake by functional, mechanistic methods also.
Given that the Protein Data Bank (PDB 4) currently contains about five thousand structures of such proteins, it would be attractive for mechanistic studies to have a method at hand to quickly estimate Ca2+-protein affinities based on the structures of the corresponding complexes.
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