Josué M. Nava-Sedeño

TL;DR: The results suggest that the molecular ruler mechanism evolved to control flagellar hook growth to the optimal length consistent with efficient bundle formation, and the hook-length control mechanism is a prime example of how bacteria evolved elegant but robust mechanisms to maximize their fitness under specific environmental constraints.

TL;DR: The computational efficiency of cellular automata combined with the analytical results paves the way to explore the relevance of memory and anomalous diffusion for the dynamics of interacting cell populations, like confluent cell monolayers and cell clustering.

TL;DR: This paper introduces a method to obtain lattice-gas cellular automaton interaction rules from physically-motivated “off-lattice” Langevin equation models for migrating cells and derived the LGCA transition probability rule from the steady-state distribution of the off- lattice Fokker-Planck equation.

TL;DR: In this article, a non-Markovian lattice-gas cellular automata model for moving agents with memory is proposed, where the reorientation probabilities are derived from velocity autocorrelation functions that are given a priori; in that respect their approach is ''data-driven''.

TL;DR: In this article , a comprehensive functional model that considers macrophage-fibroblasts interaction in the metabolic/immunologic context of fibrotic tissue has been set up.