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To determine whether the FVL mutation impacts on mortality in pneumococcal pneumonia we performed a survival study.
We present the first rule-based approach for the extraction of mutation impacts on protein properties, categorizing their directionality as positive, negative or neutral.
To determine whether the FVL mutation impacts on survival during pneumococcal pneumonia in the context of antibiotic therapy we performed a survival study.
In the current paper we present a rule-based approach for the extraction of mutation impacts on protein properties categorizing their directionality and grounding these entities to external resources.
In [ 11], the authors introduced the first rule-based approach to extract mutation impacts on protein properties while categorizing the directionality of the impacts and grounding the impacts to the mutations.
More research is warranted to investigate the mechanisms by which the FVL mutation impacts on survival in clinical sepsis [ 16] and murine pneumococcal pneumonia (the current study) in the context of antibiotic therapy.
Similar(52)
For this mutant, the conclusion is that even though the mutation impacted on the quantification of join points, the behaviour of the woven application remained the same.
Laurila et al. [ 36] introduce the first rule-based approach for the extraction of mutation impact on protein properties, using text mining and semantic web technologies.
Consequently, the analysis to which extent a mutation affects protein stability with respect to the wild type, extends the understanding of the mutation impact on protein function and the genotype-phenotype relationship, accordingly.
To obtain further evidence that the L502A mutation impacted on the ability of SPAK to bind WNK1 and NKCC1, we immunoprecipitated SPAK from kidney, brain and testis, derived from littermate wild-type and SPAKL502A/L502A homozygous animals of 2 months of age and tested how CCT domain mutation effected in association with WNK1 and NKCC1.
We also manually defined additional gene sets to assess rare mutations' impact on pathways that include more than one drug target; we defined 16 receptor tyrosine kinase (RTK) genes which have more than one approved targeted drugs.
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