V. Paakinaho

This study uses single-molecule tracking and machine learning to identify two low-mobility states of chromatin and transcriptional regulators, showing dynamic interactions and switching between states.

The paper analyzes single-molecule tracking data of transcription factors and finds power-law distributions, suggesting a continuum affinity model rather than discrete binding states.