Pregled bibliografske jedinice broj: 208010
Maximum entropy production as a selection principle for the evolution of enzymatic catalysis
Maximum entropy production as a selection principle for the evolution of enzymatic catalysis // 2-nd meeting of INRA project (2004-05): Evaluating the principle of maximum entropy production for plants and terrestrial ecosystems
Bordeaux, Francuska, 2005. (pozvano predavanje, nije recenziran, sažetak, znanstveni)
CROSBI ID: 208010 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Maximum entropy production as a selection principle for the evolution of enzymatic catalysis
Autori
Juretić, Davor ; Županović, Paško ; Dewar, Roderick
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Skup
2-nd meeting of INRA project (2004-05): Evaluating the principle of maximum entropy production for plants and terrestrial ecosystems
Mjesto i datum
Bordeaux, Francuska, 09.06.2005. - 10.06.2005
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
entropy production; enzymatic catalysis; optimization
Sažetak
In the biological evolution of enzymatic reaction rates, natural selection has modified various kinetic and structural parameters within the constraints set by the physics of enzymatic catalysis. Here we consider this selection process from a thermodynamic viewpoint. Using a previously calibrated kinetic model of ATP synthesis and hydrolysis, we show that a selection principle of maximum entropy production (MEP) allows accurate prediction of the angular position of the binding transition state of rotary F0F1-ATP synthase in spinach chloroplasts. The same angular position also maximises the Shannon entropy of the enzyme state population distribution. MEP and maximum enzyme state entropy also coincide with the optimal functioning of a general single-cycle Michaelian reaction scheme. Our results support the recent theoretical proposal that MEP is a statistical selection principle underlying a wide range of far-from-equilibrium processes across physics and biology.
Izvorni jezik
Engleski
Znanstvena područja
Fizika, Biologija