Eric Smith

TL;DR: This paper explores a recent model of proteome evolution that has been shown to reproduce many of the features displayed by its real counterparts and suggests that the overall topology of the protein maps naturally emerges from the two leading mechanisms considered by the model.

TL;DR: In this article, the authors developed a microscopic dynamical statistical model for the continuous double auction under the assumption of IID random order flow, and analyzed it using simulation, dimensional analysis, and theoretical tools based on mean field approximations.

TL;DR: A general statistical model is developed that can detect concerted changes in aligned sequence data and apply it to study regular sound changes in the Turkic language family, demonstrating that a model with no prior knowledge of complex concerted or regular changes can nevertheless infer the historical timings and genealogical placements of events of concerted change from the signals left in contemporary data.

TL;DR: It is proposed that rTCA is statistically favored among competing redox relaxation pathways under early-earth conditions and that this feature drove its emergence and also accounts for its evolutionary robustness and universality.

TL;DR: This work presents a simple model of proteome evolution that is able to reproduce many of the observed statistical regularities reported from the analysis of the yeast proteome, and suggests that the observed patterns can be explained by a process of gene duplication and diversification that would evolve proteome networks under a selection pressure.