Abstract
Elucidating the fitness measures optimized during the evolution of complex biological systems is a major challenge in evolutionary theory. We present experimental evidence and an analytical framework demonstrating how biochemical networks exploit optimal control strategies in their evolutionary dynamics. Optimal control theory explains a striking pattern of extremization in the redox potentials of electron transport proteins, assuming only that their fitness measure is a control objective functional with bounded controls.
| Original language | English (US) |
|---|---|
| Article number | 258103 |
| Journal | Physical review letters |
| Volume | 100 |
| Issue number | 25 |
| DOIs | |
| State | Published - Jun 24 2008 |
All Science Journal Classification (ASJC) codes
- General Physics and Astronomy
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