Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
For our calculations, we also assume that all the mutants are neutral before the beginning of therapy.
If mutants with δ > 0 are only considered, positive epistasis occurs very rarely compared to additive deleterious case: No more than 0.5% of the mutants are neutral at d = 5 if they carry at least one deleterious substitution.
Similar(58)
This means that the replacement probability, as a resident strategy, is at most 1 / N (which is the probability to be replaced if the mutant is neutral).
Similar to the previous section, a mutant is neutral if its secondary structure is the same as that of the tRNAphe; otherwise, it is deleterious.
The formulation of the phenotypic error threshold itself is independent of this terminology.] To calculate the effective replication accuracy Q e = Q + Λ (1 - Q), we assume that a mutant is neutral iff there is no deleterious substitution: The effect of a substitution on the phenotype is independent of the other substitutions; i.e., no epistasis is assumed (the additive assumption).
Since (non-trivial) epistasis makes it difficult to predict what happens to the phenotype given a specific change in genotype, we take the following probabilistic approach: We assume that a mutant is neutral with a certain probability (denoted by μ v, δ)), which depends on the number of neutral base substitutions (denoted by v) and on that of deleterious base substitutions (denoted by δ).
Together these data indicate that the majority of the viable mutants are selectively neutral and that ribavirin acts in a random fashion across the genome.
SNAP predicted only 1731 (11.3%) of these mutants to be neutral, so the great majority of mutations were predicted to be non-neutral.
We first consider the viable mutants, that is, neutral ones and parasites, then we characterize the rest of the mutational neighborhood.
Most mutants will be neutral, i.e., just as parasitic as their ancestors, doing no more and no less harm to the system than just tapping the metabolism for monomers and using them for their own replication.
We are neutral to it.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com