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It was demonstrated that different raster merging methods can have different and substantial impacts on these results.
These results suggest that computational protein design methods can have an important role in the creation of novel highly specific endonucleases for gene therapy and other applications.
We show that, contrary to prior expectations, different coding methods can have a significant impact on the topology of the resulting trees.
It is seen that the results from the existing continuity methods can have large error for thick beams/plates and for higher vibration modes, while the proposed hybrid method is generally very accurate and much superior to the existing methods.
This review will describe some of the successful strategies and applications of state-of-the-art algorithms to enhance drug discovery, as well as key points in the drug discovery process where computational methods can have, and have had, greatest impact.
Both methods can have positive effect on the algorithm.
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Each method can have its own problems, so some houses simply dine out.
Each method can have the effect of increasing the likelihood of engine knock.
Therefore, we need a number of independent methods to establish its properties, since every method can have systematic bias.
This method can have some drawbacks, such as intracellular fluid leakage and local inflammations.
It is shown for the Stokes equations that in principle, the method can have any order of accuracy.
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