Spatial Autocatalytic Dynamics: An Approach to Modeling Prebiotic EvolutionThis paper addresses the origin of robust and evolvable metabolic functions, and the conditions under which it took place. We propose that spatial considerations, traditionally ignored, are essential to answering these important questions in prebiotic evolution. Our probabilistic cellular automaton model, based on work on autocatalytic metabolisms by Eigen, Kauffman, and others, has biologically interesting dynamical behavior that is missed if spatial extension is ignored.
Document ID
20010002836
Acquisition Source
Legacy CDMS
Document Type
Other
Authors
Stassinopoulos, Dimitris (NASA Ames Research Center Moffett Field, CA United States)
Colombano, Silvano P. (NASA Ames Research Center Moffett Field, CA United States)
Lohn , Jason D. (NASA Ames Research Center Moffett Field, CA United States)
Haith, Gary L. (NASA Ames Research Center Moffett Field, CA United States)
Scargle, Jeffrey (NASA Ames Research Center Moffett Field, CA United States)
Liang, Shoudan (NASA Ames Research Center Moffett Field, CA United States)
Lee, T. K. (Academia Sinica, Nankang Taipei, Taiwan, Province of China)