Explores forces and compartments in computational cell biology, emphasizing the significance of indirect forces mediated by the environment and the role of compartments in cellular functions.
Explores computer simulations in cell biology, focusing on Molecular Dynamics and Monte Carlo, to gain insights into complex biological systems and their limitations.
Explores the core concepts of Brownian motion, from molecules to cells, including its history, hypothesis versus description, Langevin's solution, and methods for measuring Brownian motion.
Delves into the complexity of biological membranes, emphasizing their dynamic nature, diverse functions, and significance for brain function and connectivity.
Explores bacterial toxin uptake mechanisms, membrane interactions, and cluster formation, emphasizing the interplay between toxins, membranes, and cellular machinery.
Explores liquid-liquid phase separation in computational cell biology, emphasizing the role of biomolecular condensates and the central dogma of molecular biology.