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When such reconstructions are combined with experimental data including transcriptional profiling and proteome sequencing, it cannot only provide a quality control of the assumptions made from the sequence data but also can identify missing enzymes and potential targets for combination therapy [27], [28].
Metabolic pathways of interest were manually annotated to eliminate false positives and to search for missing enzymes and reactions.
Accordingly, this can help identifying sets of missing enzymes and sugar-degrading capacities that are needed to stabilize the GIT microbiota and which, for example, can be added as prebiotics particularly enriched in specific, missing enzyme components.
Since experimental determination of such missing enzymes and their relevant pathways is very difficult and too expensive, in silico prediction of such enzymatic reactions in the metabolic network is a challenging area in computational biology.
Gaps in the network were first addressed by searching pathway databases for the missing enzymes and corresponding genes in other organisms whose genome is sequenced (A. thaliana, E. coli, and S. cerevisiae).
Missing enzymes and pathways were identified using comparative analysis and manual curation of the automated reconstruction on the basis of comprehensive literature searches.
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Such mutants would indicate towards a possible link between the missing enzyme and its cellular roles as well as the biochemical action of substances tested.
Plasma exchange is the most important treatment, as it replaces large volume of plasma containing the missing enzyme and in removes the associated anti‐ADAMTS13 IgG antibody, which is directly related to the pathogenesis of the disease.
HCT for LSD has been performed for nearly 30 years, with the goal to repopulate recipient hematopoietic system with cells expressing the functional missing enzyme and stop the slow evolution of the disease and prevent the onset of clinical symptoms [ 10, 46, 118, 119, 147].
More recent comparative research has proceeded by focusing on alignment techniques that can identify similar parts between pathways, providing further insight for drug target identification [ 4, 5], meaningful reconstruction of phylogenetic trees [ 6, 7], and identification of enzymes clusters and missing enzymes [ 8, 9].
Additionally, the mappings and annotation of corresponding apicomplexan genes at the Kyoto Encyclopedia of Genes and Genomes (KEGG) (http://www.genome.jp/kegg/) were also inspected for annotated and missing enzymes [60].
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