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Plant disease resistance may vary across environmental gradients [14], [15], [16], contributing to the environmental gradient experienced by pathogens, but the population genetic structure of disease resistance genes across these gradients has rarely been addressed in natural plant populations [17], [18].
Applying methods that allow the exploration of the spatial and temporal structure of disease allows the investigator to further identify potential populations and factors of interest for further investigation.
The rationale for doing this is that, at a disease locus, the genotypes and phenotypes should generally show correlation of some strength on the individual level within the pedigree, where the actual strength depends on the structure of disease, i.e. the so called genetic model.
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Studies on human lysozyme indicated that the structure of disease-related mutants was only slightly more disordered than those of native lysozyme.
Considering the role of protein structures in predicting protein function, we assume that the complexity of each disease can be unraveled if the structure of disease-associated molecules can be accurately visualized in three dimensions at the atomic level.
Importantly, learning about the structure of disease-causing food allergens has allowed researchers to engineer synthetic and recombinant vaccines.
Therefore, the ALS pathology might be caused not only by mutations that alter the structure of disease-associated proteins, but also by their altered levels.
This information captures the structure of diseases associations under a simple but different point of view that could be relevant to provide insights into the occurrence of disease comorbidity, with potentially important consequences for disease prevention, diagnosis and treatment.
With this model, the effects of network structure on disease transmission, relationship type, and co-infection with other infectious diseases were evaluated.
These samples can then be used to assess the impact of population structure on disease and other phenotype association studies, particularly when searching for rare variants.
On 18 March, the EC announced the creation of three pan-European projects, including the twin study, a new project to identify the function of genes in mutant mice, and an effort to determine the structures of disease-related proteins.
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