In this paper, we propose an approach to model and simulate a network problem using
bio-inspired computing. Information in a network is embedded in DNA sequence strands and in-vitro
implementation is proposed via bio-molecular tools such as hybridization, ligation and polymerase
chain reaction. The output of the computation is derived from gel electrophoresis process.