Random autocatalytic networks

dc.creatorMossel, Elchanan
dc.creatorSteel, Mike
dc.date2004-06-24
dc.date2004-10-22
dc.date.accessioned2026-07-07T05:58:31Z
dc.date.available2026-07-07T05:58:31Z
dc.descriptionWe determine conditions under which a random biochemical system is likely to contain a subsystem that is both autocatalytic and able to survive on some ambient `food' source. Such systems have previously been investigated for their relevance to origin-of-life models. In this paper we extend earlier work, by finding precisely the order of catalysation required for the emergence of such self-sustaining autocatalytic networks. This answers questions raised in earlier papers, yet also allows for a more general class of models. We also show that a recently-described polynomial time algorithm for determining whether a catalytic reaction system contains an autocatalytic, self-sustaining subsystem is unlikely to adapt to allow inhibitory catalysation - in this case we show that the associated decision problem is NP-complete.
dc.identifierhttps://arxiv.org/abs/q-bio/0406044
dc.identifierhttp://arxiv.org/abs/q-bio/0406044
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/88385
dc.subjectMolecular Networks
dc.subjectCombinatorics
dc.subjectPopulations and Evolution
dc.titleRandom autocatalytic networks
dc.typetext

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