A key challenge in metabolic pathway hole problem is the
reconstruction of the pathway data, reactions, enzymes and genes
to use all this data to set the missing genes to the pathway which
suffer from missing some genes in its reactions, we mean by the
reconstruction here the relation between the enzymes and the
genes in the pathway, However, most organism specific
metabolic networks are left with a number of unknown
enzymatic reactions, that is, many enzymes are missing in the
known metabolic pathways, and these missing enzymes are
defined as metabolic pathway holes , Although all reactions in
some pathways are known, but also this pathways have a holes,
the hole in this case means that we do not know the genes behind
this reactions.
Results: In this paper we propose a new method to solve the
second type of pathway holes using fuzzy logic approach. We
applied fuzzy on our published database, RGBMAPS which
consists of 100 pathways, 338 reactions and nearly 200,000. The
system achieved an accuracy of 84%, where the correct genes
which the system sets were 59 genes from the 70 genes.