Kamaludin Dingle

The paper compares Boltzmann distributions of natural and random non-coding RNA, finding natural RNA are slightly more stable, except for short sequences.

This study evaluates an upper bound on phenotype transition probabilities using conditional complexity across various genotype-phenotype maps and finds it provides meaningful estimates.

The paper compares mutational profiles of natural, random, and de novo proteins to assess their structural robustness and evolutionary trajectories.

The paper analyzes RNA secondary structures to determine if they show signs of positive selection, finding they are mostly random but shaped by developmental bias.