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The acceptance rate is the probability that an amino acid mutation is accepted.
To decide if this mutation is accepted or not, we calculate Δε = B'−B0.
If a mutation is accepted then the network whose Laplacian is G0 is replaced by the network whose Laplacian is G'.
The probability that a mutation is accepted, obtained from SCN simulations, and analytically computed from the effective stochastic process Eq. (8) (see Methods), is plotted in Fig. 3.
Then, a "score" for the trial sequence is calculated and the mutation is accepted only if its score is under a given cutoff, λ.
As a result of the change of the selection parameters β i with the mutation bias, the probability that a mutation is accepted depends on the mutation bias.
Similar(52)
In natural sequences, the probability of mutating from one character to another and having this mutation be accepted depends on the specific characters involved.
Presence of mutation was accepted when it chromatographic peak height was 25% or higher the peak of the wild type reference.
Thus, at the beginning of a global-score simulation almost all amino acid mutations are accepted, leading to an acceptance rate ω = 1.
Only 90% or higher sample assignments into clusters and predictive mutations were accepted.
In this way, for λ = 0 only synonymous mutations are accepted, whereas for λ ~ ∞ all mutations are accepted.
More suggestions(15)
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