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Experiments on antibiotic resistance evolution demonstrated that although the distribution of mutations' fitness effects can be predictable (Kassen and Bataillon 2006), it is also sensitive to the specific dose and drug target (MacLean and Buckling 2009), suggesting there could be ways to design treatment strategies that minimize resistance evolution.
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The pairing can be predictable, or surprising, serious, or humorous.
These effects can be mediated in a carefully designed formulation of niacin that releases the drug at a predictable rate.
Interactions between the genetic background and experimental manipulations are not predictable and must always be tested in order to reach conclusions whether mutation effects can be generalized.
The effects can be simple.
Because those NS were rated more predictable, the effect can be explained by predictability, as one robust modulator of the N400 component [75].
Furthermore, a drug's effect can be influenced by several interactive factors in tissues as well and those are not predictable from a single blood PK assessment.
The effect can be palpable.
Similarly, rater effects should be predictable with excellent accuracy as Veenstra et al.
"But it can also be predictable".
Our results suggest that in addition to the influence of mean growth temperature, the amplitude of temperature shifts can have an important effect on growth, and this effect may not be predictable from measurements of leaf respiration and net photosynthesis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com