Proteome Fingerprinting as a Localization Scheme for Nanobots

The localization of nanobots in the human body is a crucial element to enable diagnostic ability. Current localization schemes for nanobots primarily rely on mathematical principles, but our proposed approach offers a different perspective. In this paper, we present a completely novel idea to locate nanobots within the human body by employing local pattern recognition based on unique fingerprints. We thoroughly investigate and assess various substances in the vicinity of nanobots to develop distinctive fingerprints for all major tissues. Among the candidates, we identify the human proteome as the most suitable option due to its high tissue specificity. Through our research, we determine unique combinations of protein-coding genes, ensuring exclusive localization for each specific body region. Each tissue's optimal fingerprint consists of only two protein-coding genes, which do not intersect with other tissues, further guaranteeing accurate localization. We propose the detection of these fingerprints by using DNA-based nanonetworks, enabling targeted drug delivery and facilitating the precise localization of nanobots or their measurements within the human body.