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Network elucidation based on mass spectrometry data is a wide field.
Therefore, more genes deserve further elucidation based on a large sample and the combination of genes.
Various studies have suggested methods for improved chemical formula elucidation, based on variations of this technique.
Therefore, more detailed molecular pathogenesis analysis deserves elucidation based on the results from large samples.
Therefore, the more genes deserve further elucidation based on a large sample and the combination of genes and AFB1 exposure.
Therefore, more microRNAs deserve further elucidation based on a large sample and the combination of genes and AFB1 exposure.
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Structural elucidation was based on a combination of UV, NMR and MS data.
As noted previously, inferences generated from genome-wide knockout fitness data could be used to facilitate network elucidation methods based on gene expression by helping initialize or further refine their predictions.
Sequence elucidation was thus based on tandem MS data, a common approach for MCs [9, 12, 13].
The analysis of molecular packing was based on elucidation of hierarchical self-associated structural units.
Here, based on elucidation of the first structure of an FAAL protein and by generating loss-of-function and gain-of-function mutants that interconvert FAAL and FACL activities, we demonstrate that an insertion motif dictates formation of acyladenylate.
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