Extending the Metabolic Network of Ectocarpus Siliculosus Using Answer Set Programming

摘要: Metabolic network reconstruction is of great biological relevance because it offers a way to investigate the metabolic behavior organisms. However, remains difficult task at both and computational level. Building on previous work establishing an ASP-based approach this problem, we present report from field resulting in discovery new knowledge. In fact, for first time ever, automatically reconstructed macroalgae. We accomplished by taking advantage ASP's combined optimization enumeration capacities. Both tasks build improved ASP problem representation, incorporating concept reversible reactions. Interestingly, greatly benefits usage unsatisfiable cores available solver unclasp. Applied Ectocarpus siliculosus, only combination unclasp clasp allowed us obtain able produce all recoverable metabolites among experimentally measured ones. Moreover, 70% identified reactions are supported homologous enzyme confirming quality viewpoint.