A. B. Kolomeisky

Optimal pathways control fixation of multiple mutations during cancer initiation

The paper presents a theoretical framework to analyze cancer initiation dynamics, showing that few dominant pathways control mutation fixation during tumor formation.

The Role of Extended Range of Interactions in the Dynamics of Interacting Molecular Motors

This study investigates how the range of interactions affects the dynamics of molecular motors using a theoretical model and simulations.

Temporal order of mutations influences cancer initiation dynamics

This study presents a theoretical model showing that the temporal order of mutations affects cancer initiation probability and dynamics.

Relaxation times of ligand-receptor complex formation control T cell activation

The paper proposes a mechanism for T cell activation based on relaxation times of TCR-ligand complex formation, explaining how speed, sensitivity, and specificity are related.

Mechanochemical Model of Transcriptional Bursting

This paper develops a mechano-chemical model of transcriptional bursting, showing that DNA supercoiling and gyrase activity drive stochastic RNA production and explain phenotypic variability.

Direct detection of molecular intermediates from first-passage times

The paper demonstrates how first-passage time distributions can reveal the number of intermediate states in complex molecular processes across different systems.

When will the cancer start? Elucidating the correlations between cancer initiation times and lifetime cancer risks

This paper develops a theoretical method to estimate cancer initiation times from lifetime cancer risks, finding that higher cancer probability does not always correlate with faster initiation.

Theoretical investigation of stochastic clearance of bacteria: First-passage analysis

The paper develops a theoretical framework to analyze stochastic bacterial clearance dynamics under antibiotics, finding that extinction times increase with growth rate fluctuations, potentially contributing to antibiotic resistance.

Kinetic network model to explain gain-of-function mutations in ERK2 enzymes

The paper presents a kinetic network model to explain how a gain-of-function mutation in ERK2 increases its activity despite weakening interactions with substrates and regulators.

Elucidating interplay of speed and accuracy in biological error correction

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.