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For more than a decade, we have been using our expertise in statistical and condensed matter physics to study the early stages of aggregation of the amyloid beta-protein that eventually makes up the toxic fibrils and plaques found in the brains of Alzheimer patients.
We are refining protein-folding models designed to identify the areas of the amyloid protein that are involved in the misfolding process, and to predict forms that the proteins are likely to take in the human brain.
The protein structures that the our computer models predict are compared to actual proteins synthesized in the lab by neurological biochemist Dr.
David Teplow at UCLA; this dialogue between computational models and observed results ensures that the computer models are accurately mimicking amyloid protein misfolding as it occurs in the brain of an Alzheimer patient.
A physicist views the economy as a collection of interacting units. This collection is complex; everything depends on everything else.
The interesting problem is: how does everything depend on everything else? Physicists are looking for laws that will help us understand this complex interaction.
To a physicist, the most interesting thing about economics is that it is dominated by fluctuations in quantities of economic interest. Big changes in big money affect not only people with large amounts of it, but also those who have very little of it—those on the margins of society.
Finding ideas that serve to solve economic problems can potentially help in making progress on unsolved physics problems. A good example is turbulence.
If we take a bucket of water and disturb the surface, energy is added to the system on a big scale. This energy then dissipates over progressively smaller scales.
This is an unsolved physics problem; many empirical facts can be stated, but little can be said about understanding it. The economy is analogous to this example of turbulence.
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