Yaojun Zhang

This study uses simulations to show that mesoscale heterogeneity in biomolecular condensates affects client selectivity and transport dynamics.

This study develops a reaction-diffusion model to analyze client molecule exchange dynamics in biomolecular condensates and identifies three limiting regimes based on binding and diffusion rates.

The paper develops an analytical theory to predict dwell-time distributions in biomolecular condensates based on single-molecule measurements of RNA dwell times.

This paper develops a reaction-diffusion model to analyze biomolecular condensate exchange dynamics, identifying multiple rate-limiting processes and a pore-mediated pathway that decouples exchange timescale from condensate size.

The paper develops a statistical mechanics approach to identify sequence features controlling DNA cyclizability, finding periodic features in highly cyclizable sequences and distinct patterns in low cyclizability.

The paper identifies an entropic charge separation mechanism that limits coarsening in nanoscale condensates, explaining their long-term stability.

This paper proposes a self-organization strategy for enzyme clustering based on substrate-dependent stickiness, showing significant increases in pathway flux and reductions in toxic metabolites.