title: Mutagenic evidence for the optimal control of evolutionary dynamics.
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.
authors.affiliation: Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA. rajchak@princeton.edu
authors.forename: Raj
authors.initials: R
authors.lastname: Chakrabarti
authors.forename: Herschel
authors.initials: H
authors.lastname: Rabitz
authors.forename: Stacey L
authors.initials: SL
authors.lastname: Springs
authors.forename: George L
authors.initials: GL
authors.lastname: McLendon
mesh_terms: D000255:Adenosine Triphosphate / Q000378:metabolism; D003573:Cytochrome b Group / Q000235:genetics / Q000378:metabolism; D019143:Evolution, Molecular; D008957:Models, Genetic; D009154:Mutation; D010084:Oxidation-Reduction; D011506:Proteins / Q000235:genetics* / Q000378:metabolism
chemical_list: D003573:Cytochrome b Group; D011506:Proteins; D000255:Adenosine Triphosphate