Sentence examples for a subsequent computational from inspiring English sources
A subsequent computational study based on molecular mechanics was performed in an attempt to unravel the location of TMA and SS-bmpm cations within the void space of the complex MWW structure.
A subsequent computational study proposed that this reaction is an example of a direct enantioselective transformation (DET).
It is the key to assessing the quality of protein structures and thereby to the quality of all subsequent computational steps.
LV and AF performed the de novo assembly, all subsequent computational analyses and the writing of the manuscript.
Subsequent computational analyses yielded a list of annotated candidate proteins, some of which were functionally validated as neoblast-specific genes by RNAi and whole-mount in situ hybridization.
The algorithm is based on pin-jointed net kinematics and can produce a mesh of arbitrary perimeter shape, suitable for subsequent computational analysis such as finite element forming simulations.
After identification of 51 nucleosides/ribosylated metabolites in the urine of breast cancer women and/or controls by LC- ITMS coupling, a valid set of 35 candidates was selected for subsequent computational analyses.
Subsequent computational fluid dynamics (CFD) analyses were conducted to quantify hemodynamic quantities linked to restenosis.
It is worth noting that subsequent computational models, such as Hummel and Holyoak's LISA program (1997, 2003), have made significant advances and hold promise for offering a more complete theory of analogical reasoning.
Recently, proton nuclear magnetic resonance (1 H-NMR) based quantitative metabolomics with subsequent computational analysis was applied to investigate the plasma metabolic changes associated with sepsis-induced ALI.
Further repeated laboratory experiments to investigate the effect of each ash characteristic on every surface transportation impact type, along with detailed post-eruption field sampling and analysis, and subsequent computational probabilistic modelling will assist to fill this gap in knowledge.
