O. A. Igoshin

This paper identifies cell behaviors driving aggregate dispersal in Myxococcus xanthus using microscopy and modeling, showing reversal bias changes correlate with aggregate size and genetic control.

This study identifies how kin recognition in Myxococcus xanthus leads to emergent collective behaviors through suppression of cell reversals and formation of rotating aggregates.

This study uses a stochastic model to analyze how tRNAIle aminoacylation balances speed, accuracy, and energy dissipation in E. coli, revealing an economic proofreading strategy that optimizes performance under tolerable error rates.

The paper demonstrates that steady-state flux ratios in biochemical processes are invariant to energy perturbations and controlled by kinetic factors rather than thermodynamic ones.

The paper uses data-driven models to identify key mutant cell behaviors in Myxococcus xanthus that contribute to aggregation, showing that imperfect behaviors can still support multicellular self-organization.

The paper uses an agent-based model to show that chemotaxis with adaptation explains M. xanthus cell aggregation and alignment during starvation.

This study investigates the mechanism behind long-range alignment of fibroblasts, showing that local interactions are insufficient and proposing a non-local interaction involving the extracellular matrix.

This study develops a stochastic framework to analyze speed and accuracy trade-offs in DNA replication and tRNA selection, finding that biological systems often prioritize speed over accuracy when errors are tolerable.