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The modeling provides a structural basis for interpreting and predicting the impact of linker choice on glycan recognition.
Our results provide a rationale for such modulation and a novel framework for interpreting and predicting the signalling response of phosphorylated RTKs.
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Failure to account for cohort effects has implications for interpreting seroprevalence data and predicting the impact of vaccination programmes with dynamic models.
The variant interpretation software Alamut, (http://www.interactive-biosoftware.com/software/alamut/features) was used to interpret and predict the consequences of identified variants.
A grain growth model adapted from welding was used to interpret and predict the grain sizes in the walls as a function of processing parameters and position.
Metabolic networks are often approached through steady-state optimization formulations that are solved to interpret and predict the behavior of the network subject to changes in external fluxes or internal enzyme activity.
Analysis of the results allowed us to interpret and predict the responses of metabolic networks to genetic and environmental changes, and to gain insights on how uncertainty in the kinetic mechanisms and kinetic parameters propagate into the uncertainty in predicting network responses.
Genome-scale models are useful to analyze, interpret and predict the genotype-to-phenotype relationships in an organism [ 6].
Hence, PLS regression models were built to interpret and predict the age of Cheddar cheese using headspace data from GC MS and APCI-MS.
The huge complexity hampers our ability to interpret and predict the regulation of the network as a whole, which is essential to better understand EGFR signalling and its role in diseases.
A critical role might be played by Outcome Research (OR), defined as the discipline that describes, interprets, and predicts the impact of various influences, especially interventions, on final endpoints (from survival to satisfaction with care) that matter to decision makers (from patients to society at large), with special emphasis on the use of patient-reported outcomes (PRO).
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CEO of Professional Science Editing for Scientists @ prosciediting.com