Atchuta Srinivas Duddu

This paper models endosomal pH dysregulation in Alzheimer's disease, showing how NHE6 loss leads to hyperacidification, maladaptive plasticity, and Aβ oligomerization.

The paper identifies distinct geometrical landscapes for two gene regulatory motifs that exhibit tristability and shows how these landscapes can model cell fate transitions in cancer.

The paper studies a four-node mutually repressive network, showing it allows for six stable double-positive states and applies this to explain Th1/Th2/Th17/Treg differentiation.

This study investigates how couplings between bistable switches affect multistability and phenotypic space using simulation methods.

The paper investigates how mutually repressing network motifs maintain their dynamics when embedded in larger networks, finding that increased connectivity and self-inhibition reduce their canonical behavior.

The paper models a three-node regulatory network to explain phenotypic switching and heterogeneity in Th1/Th2/Th17 cell differentiation, showing how epigenetic repression influences transition rates between phenotypes.

The paper studies the dynamics of toggle polygons, finding that even-numbered polygons have two dominant states while odd-numbered ones have more states following circular permutation patterns.

The paper investigates a network of three mutually repressing master regulators, showing it can lead to multiple stable cell states and applies this to understand T cell differentiation.