S. E. Ahnert

Maximum Mutational Robustness in Genotype-Phenotype Maps Follows a Self-similar Blancmange-like Curve

The paper proves that maximum mutational robustness in genotype-phenotype maps follows a fractal sums-of-digits function and shows this bound is achieved by RNA secondary structure and HP model phenotypes.

The non-deterministic genotype-phenotype map of RNA secondary structure

The paper defines a non-deterministic genotype-phenotype map for RNA secondary structures and shows it exhibits similar structural properties to the deterministic map.

The Boltzmann distributions of folded molecular structures predict likely changes through random mutations

The paper shows that Boltzmann frequencies of alternative structures predict mutation likelihoods between folded molecular structures in RNA and HP models.

Predicting phenotype transition probabilities via conditional algorithmic probability approximations

The paper derives an upper bound for phenotype transition probabilities using algorithmic probability approximations and applies it to predict transitions in RNA and protein secondary structures.

The structure of genotype-phenotype maps makes fitness landscapes navigable

The paper shows that high-dimensional genotype-phenotype maps allow fitness landscapes to be navigable without requiring fitness valleys.

Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution

The paper shows that symmetry and simplicity in biological systems arise from algorithmic biases in evolution, not just natural selection, by testing predictions on protein complexes, RNA structures, and gene networks.

Evolution of interface binding strengths in simplified model of protein quaternary structure

This paper generalizes lattice models of protein self-assembly by introducing mutable binary strings to represent interfaces, showing that assembly pathways minimize misassembly and reflect evolutionary history.