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While de novo protein design remains a challenging problem, R osetta can routinely be applied when searching for thermo-stabilizing mutations, when redesigning protein−protein interfaces, and when performing in silico mutagenesis studies such as alanine scanning.
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The proposed threshold based on minimum error pattern (MEP-T) is applied when the SD searching reaches level n (leaf nodes).
The same applies when searching for housing (as I will discuss below).
The same doesn't apply when searching for the perfect updo.
Because −(1/t) log(−u) is convex, differentiable, and increasing when u<0, Newton algorithm can be applied to searching for the minimum of (35) within p i ∈[0,p max].
No language restriction was applied on searching.
However, molecular ecological studies have proven that the vast majority of microorganisms cannot be cultivated in the laboratory and was therefore ignored when traditional screening procedures were applied to search for novel enzymes and bioactives.
As expected, when the same procedure was applied to search for predicted signal peptides in a subset of contigs enriched in the whole body (a catalogue containing 1,048 contigs), a lower rate (22.4 %) of putative proteins carrying a signal peptide was predicted, pointing out the secretory profile of salivary and oesophageal repertoires.
"Someone had to decide when a search warrant could be applied for in a building code violation," he said.
Note that no base quality filtering was applied for this comparison when searching for matching DL variants.
When should it be applied?
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