Proteome Fingerprinting as a Localization Scheme for Nanobots

Regine Claudia Wendt; Florian-Lennert Lau; Lena Unger; Stefan Fischer

doi:10.1145/3576781.3608728

Proteome Fingerprinting as a Localization Scheme for Nanobots

Regine Claudia Wendt, Florian-Lennert Lau, Lena Unger, Stefan Fischer

Abstract

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.

Original language	English
Title of host publication	Nanocom 2023 Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication
Number of pages	6
Publisher	Association for Computing Machinery
Publication date	20.09.2023
Pages	27-32
ISBN (Print)	9798400700347
DOIs	https://doi.org/10.1145/3576781.3608728
Publication status	Published - 20.09.2023

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 14 Life Below Water
SDG 15 Life on Land

Access to Document

10.1145/3576781.3608728

Cite this

@inproceedings{6261b86738fe4ebdba1be828497a4b26,

title = "Proteome Fingerprinting as a Localization Scheme for Nanobots",

abstract = "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.",

author = "Wendt, \{Regine Claudia\} and Florian-Lennert Lau and Lena Unger and Stefan Fischer",

year = "2023",

month = sep,

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doi = "10.1145/3576781.3608728",

language = "English",

isbn = "9798400700347",

pages = "27--32",

booktitle = "Nanocom 2023 Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication",

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Proteome Fingerprinting as a Localization Scheme for Nanobots. / Wendt, Regine Claudia ; Lau, Florian-Lennert; Unger, Lena et al.
Nanocom 2023 Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication. Association for Computing Machinery, 2023. p. 27-32.

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Proteome Fingerprinting as a Localization Scheme for Nanobots

AU - Wendt, Regine Claudia

AU - Lau, Florian-Lennert

AU - Unger, Lena

AU - Fischer, Stefan

PY - 2023/9/20

Y1 - 2023/9/20

N2 - 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.

AB - 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.

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DO - 10.1145/3576781.3608728

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BT - Nanocom 2023 Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication

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