The COVID-19 pandemic highlighted the importance of RNA-based technologies for the development of new vaccines. Besides vaccines, a world of RNA-based drugs, including small non-coding RNA, could open new avenues for the development of novel therapies cover- ing the full spectrum of the main human diseases. In the context of the “National Center for Gene Therapy and Drugs based on RNA Technol- ogy” funded by the Italian PNRR and the NextGenerationEU program, our lab will contribute to the construction of a Knowledge Graph (KG) for RNA-drug analysis and the development of innovative algorithms to support RNA-drug discovery. In this paper, we describe the initial steps for the identification of public data sources from which information about different kinds of non-coding RNA sequences (and their relationships with other molecules) can be collected and used for feeding the KG. An in-depth analysis of the characteristics of these sources is provided, along with a meta-graph we developed to guide the RNA-KG construction by exploiting and integrating biomedical ontologies and relevant data from public databases.

A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph / E. Cavalleri, S. Bonfitto, A. Cabri, J. Gliozzo, P. Perlasca, M. Soto-Gomez, G. Trucco, E. Casiraghi, G. Valentini, M. Mesiti (LECTURE NOTES IN COMPUTER SCIENCE). - In: International Work-Conference on Bioinformatics and Biomedical Engineering / [a cura di] I. Rojas, O. Valenzuela, F. Rojas Ruiz, L. J. Herrera, F.Ortuño. - Cham : LNBI, 2023 Jun. - ISBN 978-3-031-34952-2. - pp. 165-180 (( Intervento presentato al 10. convegno IWBBIO : International Work-Conference on Bioinformatics and Biomedical Engineering tenutosi a Meloneras : July 12–14 nel 2023 [10.1007/978-3-031-34953-9_13].

A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph

E. Cavalleri;S. Bonfitto
Secondo
;
A. Cabri;J. Gliozzo;P. Perlasca;M. Soto-Gomez;G. Trucco;E. Casiraghi;G. Valentini
Penultimo
;
M. Mesiti
Ultimo
2023

Abstract

The COVID-19 pandemic highlighted the importance of RNA-based technologies for the development of new vaccines. Besides vaccines, a world of RNA-based drugs, including small non-coding RNA, could open new avenues for the development of novel therapies cover- ing the full spectrum of the main human diseases. In the context of the “National Center for Gene Therapy and Drugs based on RNA Technol- ogy” funded by the Italian PNRR and the NextGenerationEU program, our lab will contribute to the construction of a Knowledge Graph (KG) for RNA-drug analysis and the development of innovative algorithms to support RNA-drug discovery. In this paper, we describe the initial steps for the identification of public data sources from which information about different kinds of non-coding RNA sequences (and their relationships with other molecules) can be collected and used for feeding the KG. An in-depth analysis of the characteristics of these sources is provided, along with a meta-graph we developed to guide the RNA-KG construction by exploiting and integrating biomedical ontologies and relevant data from public databases.
RNA molecules; RNA data sources; Biological KGs
Settore INF/01 - Informatica
giu-2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/981668
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