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Naturally, the majority of masks within the original set of random masks will predict specificity poorly, but, as the system evolves, the masks will improve their predictive power, i.e., become more fit.
In the absence of comprehensive structural information from the entire GPCR superfamily, bioinformatic algorithms (such as those just mentioned) are used to predict specificity determining positions or functionally important positions solely from their sequences.
As discussed in more detail below, we found that the striking preference for P2 Leu in small substrates did not predict specificity only for cleavage sites with P2 Leu in larger peptide or protein substrates.
Using the score within the tree traversal allows us to predict specificity determinants even when the subtypes are not known.
We do not include methods that predict specificity groups as well as SDPs in the evaluation, though such an evaluation would be possible with our dataset.
We compared different methods that predict specificity groups for the enzyme dataset 2 (different EC numbers in the same family) (Table 3B).
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GROUPSIM [34] was used to predict specificity-determination positions using default parameters except for maximum group gap (set to 0,1).
Interestingly, optimization of zinc finger protein amino acid sequences for high-affinity binding to specific DNA sequences results in proteins with little or no predicted specificity, suggesting that naturally occurring DNA-binding proteins are optimized for specificity rather than affinity.
We speculated that interference requires competing processes of synaptic plasticity in overlapping circuits and predicted specificity.
To examine the predicted specificity of the amiRNA against Spl11, we investigated the mRNA levels of Spl11 and its nine closest homologs (Table S3) by multiplex qRT-PCR.
A somewhat unexpected finding is that many of these predicted specificity determinants lie within the DHHC domain, since this domain is highly conserved between all PATs studied and between different species.
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