H. Teimouri

Differences in Relevant Physicochemical Properties Correlate with Synergistic Activity of Antimicrobial Peptides

This paper develops a theoretical framework to link physicochemical properties of antimicrobial peptides with their synergistic activity, finding that less similar peptides exhibit greater synergy due to complementary antibacterial actions.

Theoretical understanding of evolutionary dynamics on inhomogeneous networks

The paper investigates the microscopic mechanisms of mutation fixation on inhomogeneous networks, focusing on star networks, and explains fixation probabilities and times using physics-inspired free-energy landscape arguments.

Predicting Antimicrobial Activity for Untested Peptide-Based Drugs Using Collaborative Filtering and Link Prediction

This paper predicts antimicrobial activity of untested peptide-based drugs using collaborative filtering and link prediction to identify effective AMP-AMP and AMP-antibiotic combinations.

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.

Single-Cell Stochastic Modeling of the Action of Antimicrobial Peptides on Bacteria

This study develops a stochastic model to analyze how antimicrobial peptides neutralize bacteria, showing that both entry and inhibition processes are critical for their effectiveness.

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.

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.