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To uncover novel genes that act redundantly with the HD-ZIPIII pathway in meristem regulation, we conducted a genetic screen to identify second-site mutations that modified the jba-1D enlarged SAM phenotypes and identified a mutation in the ER gene as an enhancer.
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They generally adapt to these challenges through genetic mutations that modify features they already have.
This stepwise progression is in part driven by the acquisition of genetic mutations that modify the function of cancer-related proteins [ 2].
The genetic algorithm consists of specially defined operators (e.g., crossover, mutation) that modify the initial rules, and thus the result are models that have "evolved" – after each modification, the quality of the rule is tested (to maximize both significance and predictive accuracy) and a size-limited set of best rules is retained.
Adaptive phenotypic evolution may result either from protein-coding mutations that modify the structure and function of genes, or from regulatory mutations that alter the timing, location, or expression of genes [ 1- 3].
The results from each of these different technologies have yielded numerous mutations that modify Fc-FcγR interactions and the resultant effector functions (Table 1).
Recently the function of yeast PCNA was found to be highly affected by mutations that modify its affinity for several of its other protein partners, with higher affinities causing deficiencies in DNA replication and DNA repair more severe than binding abolishment [36].
Identification of disease-causing mutations that modify the structure of wild-type protein can advance understanding of protein interactions and ultimately of their roles in intracellular processes.
The genes that control these developmental processes are known to be highly conserved [ 36] and it is believed that adaptive evolutionary change is fueled by mutations that modify the expression of these conserved regulatory loci [ 36, 37].
It has been shown that brain has the smallest mRNA expression differences between species, and it was concluded that purifying selection is extremely efficient at eliminating mutations that modify gene expression in this tissue (Khaitovich et al. 2005, 2006).
The aim of this study was to identify novel genes involved in auxin signal transduction by screening for second site mutations that modify the axr3-1 gain-of-function phenotype.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com