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The high error rate coupled with a short generation time leads to a rapid selection of resistance mutations reducing susceptibility to drugs, sometimes within days [4].
This large polymorphism permits a rapid selection of alleles that can respond to viral threats.
In contrast, nonadherence to the prescribed antiretroviral regimens is associated with a rapid selection of resistant HIV strains resulting in treatment failure [ 8, 9].
The CTL response is also associated with a rapid selection of viral CTL escape variants (Howley et al., 2001; Lichterfeld et al., 2005).
Nevertheless, the reduction of NNRTI resistance overtime is more relevant than that observed in previous studies [ 18, 22] even though a rapid selection of resistant variants is observed in patients failing NNRTI based regimens [ 23].
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This paper is the first part of the presentation of a chemometric approach for the rapid selection of a suitable background electrolyte (BGE) in CZE analysis of small drug molecules.
We describe a strategy for the rapid selection of mutant aminoacyl-tRNA synthetases (aaRS) with specificity for a novel amino acid based on fluorescence-activated cell sorting of transformed Escherichia coli using as reporter the enhanced green fluorescent protein (eGFP) whose gene carries an amber stop codon (TAG) at a permissive site upstream of the fluorophore.
A visual method for rapid selection of high-producing clones based on mannanase reporter system was developed.
In this critique, a novel method for rapid selection of high-producing clones based on the mannanase activity reporter system is emphasized.
A high-density 1143 TFGMS and TFFDMS marker-based physical map constructed in our study could be used as a reference for the rapid selection of genic microsatellite markers at genome-wide scale/chromosomal level.
Overall, the hypervariable Class I and UTR-derived microsatellite markers designed in this study from the TF genes provided a strategy for the rapid selection of more polymorphic markers from the huge marker database and thus would have greater utility for large-scale validation and efficient genotyping applications in chickpea.
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