Probing the physics behind biological systems
Professor Aidan Brown uses mathematical modelling to study how cells and other living systems work
There���s an old adage that physicists like to tell their students: ���Assume the cow is a sphere.��� The idea is that the real world is complicated, but to do physics, many of those complexities don���t matter. So you ignore the cow���s legs and the head and treat it as a giant beach ball.
A spherical cow sounds silly, but the underlying principle is sound, and it���s something that Aidan Brown, a professor in the Department of Physics and part of the Complex Systems research group, takes full advantage of. Brown���s specialty is the physics of biological systems, especially the workings of living cells, which can be incredibly complex. And yet, beneath that complexity are physical structures that obey well-understood laws, and whose behaviour can be modelled mathematically and simulated on a computer.
���Everything in biology is built of atoms, molecules, proteins - those things are not alive on their own. But you put them together in the right way, you add energy in the right way, and you get something that���s alive,��� says Brown. ���So how do these components that aren���t alive keep the overall system alive? That���s a big mystery.���
Brown is particularly interested in the workings of mitochondria, the organelles that provide the chemical energy to keep cells functioning. And while his research is rooted in basic science, a better understanding of mitochondria has enormous practical applications. ���Understanding the fundamentals of how mitochondria are able to remain healthy in cells over long periods could help us investigate the root causes of nerve cell degeneration over time,��� he says. A better knowledge of those processes may shed light on the mechanisms behind neurodegenerative diseases and even cancer. ���I really want to understand how living things use physical principles to stay alive.���
Brown is one of four researchers at the heart of 91心頭利���s interdisciplinary Complex Systems initiative.