Mutagenic evidence for the optimal control of evolutionary dynamics

Raj Chakrabarti, Herschel Rabitz, Stacey L. Springs, George L. McLendon

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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 languageEnglish (US)
Article number258103
JournalPhysical review letters
Volume100
Issue number25
DOIs
StatePublished - Jun 24 2008

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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