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We have recently demonstrated [ 41*] that the EGF-induced mobility shift is MAPK kinase dependent and identified the MAPKs as candidates for phosphorylation of the EMS1 helical-proline-rich region.
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Phenomenological laws deduced from these tests are therefore loading dependent and identifying a valid model for any loading condition of a given laminate requires long fatigue testing campaigns.
Epitope mapping revealed that mAb 2A5 binding is conformation-dependent and identified the E2-region spanning amino acids 434 to 446 (epitope II) as the predominant contact domain.
We examined the 35 alternate exons that showed pilocarpine-dependent changes to see which were present on our list of Nova-dependent exons, and identified only eight as Nova-regulated (Supplementary file 1).
More precisely, in response to the reviewers' question, these new data allow us to conclude the following: "We examined the 35 alternate exons that showed pilocarpine-dependent changes to see which were present on our list of Nova-dependent exons, and identified only 8 as Nova-regulated (Table 3).
Finally, we compared EBP regulons with the σ-dependent sigmulon and identified a set of operons co-regulated by EBPs and σ subunit.
The fungus was isolated from the gravity-dependent ball and identified as Penicillium capsulatum based on the morphological analysis of microscopic and macroscopic features and on ribosomal internal transcribed spacer sequencing.
Using the qCTF assay, we performed genome-wide quantitative profiling of genes that affect CIN in a dosage-dependent manner and identified genes that elevate CIN when either increased (icCIN) or decreased in copy number (dcCIN).
These genes, up-regulated in a Rsh-dependent manner and identified in independent virulence screens [ 42] (the latter as review) include those involved in cell envelope formation (omp19, wbpL, lpsA, amiC, wbdA), in DNA/RNA metabolism (mutM and pyrB), in stress response (csp), in transport/secretion systems (virB5 and dppA), and one gene encoding a protein of unknown function.
While exploratory and observational, several of the predictors are time-dependent and identify promising targets for interventions designed to shorten the cycle and increase the long-term effectiveness of treatment.
In our approach, rather than regressing allele frequencies (dependent variable) on birth date (explanatory variable), we invert the relationship and fit birth date as the dependent variable and identify SNPs that are strongly associated or predictive of birth date.
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