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Since MD simulation data enables assessing the accessibility in a dynamic environment, we evaluated the accessibility of the top ranked discontinuous and linear epitopes using structures obtained at every nanosecond (ns) in the 1 20 ns MD simulation timeframe.
Any times that exceed the model's end time indicate that the particular event will not occur during that simulation timeframe.
All of the cell lines we observed as sensitive to TMZ treatment were also correctly predicted by APOPTO-CELL to achieve appropriate levels of caspase-3 activation within the 60 min simulation timeframe, with a median time of 26 min to achieve 80% substrate cleavage.
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Such relaxation steps with pure MD would necessitate unphysical carbon deposition rates, as well as intractable simulation timeframes.
During the timeframe of the simulations (one year), the population was assumed to be constant (no birth, death or migration).
All simulations take place in a timeframe of one year, and a deadline of 48 hours was set only for AZ requests.
However because the rate is low and applies to the minority of the cells without the predominant alleles, this does not significantly affect the results within the timeframe to which the simulation applies.
Given the long timeframe considered in our simulations (2080), the use of existing preferences is implausible.
The result from this simulation indicates that under evolution over long timeframes, the nonlinear term dominates the pattern selection.
The outcome of our stochastic model is presented for one hospital with 693 beds, as the mean of 1000 simulations for each strategy over the full timeframe of 15 years.
One departure from the T. reesei system is our selection of a small enzyme 'footprint' on the cellulose surface, which has enabled simulations to be run in a reasonable timeframe by reducing the crowding effect.
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CEO of Professional Science Editing for Scientists @ prosciediting.com