https://www.sciencedaily.com/releases/2023/08/230801131650.htm
Science daily has an article about some math that doesn't seem to be so surprising. Why wouldn't integer mathematics apply to the possible
evolution of RNA secondary structure and protein folding when there are
no partial amino acids or nucleotides? You have a set integer number of nucleotides for any RNA secondary structure. Even deletions and
insertions have to change by a specific integer number of units.
https://royalsocietypublishing.org/doi/10.1098/rsif.2023.0169
Maximum mutational robustness in genotype–phenotype maps follows a self-similar blancmange-like curve
Vaibhav Mohanty, Sam F. Greenbury, Tasmin Sarkany, Shyam Narayanan, Kamaludin Dingle, Sebastian E. Ahnert and Ard A. Louis
Published:26 July 2023https://doi.org/10.1098/rsif.2023.0169
Abstract
Phenotype robustness, defined as the average mutational robustness of
all the genotypes that map to a given phenotype, plays a key role in facilitating neutral exploration of novel phenotypic variation by an evolving population. By applying results from coding theory, we prove
that the maximum phenotype robustness occurs when
genotypes are
organized as bricklayer’s graphs, so-called because they resemble the
way in which a bricklayer would fill in a Hamming graph. The value of
the maximal robustness is given by a fractal continuous everywhere but differentiable nowhere sums-of-digits function from number theory. Interestingly, genotype–phenotype maps for RNA secondary structure and
the hydrophobic-polar (HP) model for protein folding can exhibit
phenotype robustness that exactly attains this upper bound. By
exploiting properties of the sums-of-digits function, we prove a lower
bound on the deviation of the maximum robustness of phenotypes with
multiple neutral components from the bricklayer’s graph bound, and show that RNA secondary structure phenotypes obey this bound. Finally, we
show how robustness changes when phenotypes are coarse-grained and
derive a formula and associated bounds for the transition probabilities between such phenotypes.
On Sunday, August 6, 2023 at 9:46:04 AM UTC-7, RonO wrote:
https://www.sciencedaily.com/releases/2023/08/230801131650.htm
Science daily has an article about some math that doesn't seem to be so
surprising. Why wouldn't integer mathematics apply to the possible
evolution of RNA secondary structure and protein folding when there are
no partial amino acids or nucleotides? You have a set integer number of
nucleotides for any RNA secondary structure. Even deletions and
insertions have to change by a specific integer number of units.
https://royalsocietypublishing.org/doi/10.1098/rsif.2023.0169
Maximum mutational robustness in genotype–phenotype maps follows a
self-similar blancmange-like curve
Vaibhav Mohanty, Sam F. Greenbury, Tasmin Sarkany, Shyam Narayanan,
Kamaludin Dingle, Sebastian E. Ahnert and Ard A. Louis
Published:26 July 2023https://doi.org/10.1098/rsif.2023.0169
Abstract
Phenotype robustness, defined as the average mutational robustness of
all the genotypes that map to a given phenotype, plays a key role in
facilitating neutral exploration of novel phenotypic variation by an
evolving population. By applying results from coding theory, we prove
that the maximum phenotype robustness occurs when
Seems odd that coding theory knows anything about phenotype robustness, but I suppose it can since they proved it.
genotypes are
organized as bricklayer’s graphs, so-called because they resemble the
way in which a bricklayer would fill in a Hamming graph. The value of
the maximal robustness is given by a fractal continuous everywhere but
differentiable nowhere sums-of-digits function from number theory.
Interestingly, genotype–phenotype maps for RNA secondary structure and
the hydrophobic-polar (HP) model for protein folding can exhibit
phenotype robustness that exactly attains this upper bound. By
exploiting properties of the sums-of-digits function, we prove a lower
bound on the deviation of the maximum robustness of phenotypes with
multiple neutral components from the bricklayer’s graph bound, and show
that RNA secondary structure phenotypes obey this bound. Finally, we
show how robustness changes when phenotypes are coarse-grained and
derive a formula and associated bounds for the transition probabilities
between such phenotypes.
Sysop: | Keyop |
---|---|
Location: | Huddersfield, West Yorkshire, UK |
Users: | 300 |
Nodes: | 16 (2 / 14) |
Uptime: | 01:25:48 |
Calls: | 6,706 |
Calls today: | 6 |
Files: | 12,235 |
Messages: | 5,349,922 |