Autor(es)

Viviana Cotik and R Romero Zaliz and Igor Zwir

URL Pública

Abstract

One of the big challenges of the post-genomic era is identifying regulatory systems and integrating them into genetic networks. Gene expression is determined by protein–protein interactions among regulatory proteins and with RNA polymerase(s), and protein–DNA interactions of these trans-acting factors with cis-acting DNA sequences in the promoter regions of those regulated genes. Therefore, identifying these protein–DNA interactions, by means of the DNA motifs that characterize the regulatory factors operating in the transcription of a gene, becomes crucial for determining which genes participate in a regulation process, how they behave and how they are connected to build genetic networks. In this paper, we propose a hybrid promoter analysis methodology (HPAM) to discover complex promoter motifs that combines: the neural network efficiency and ability of representing imprecise and incomplete patterns …