Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches.

Abstract:

INTRODUCTION: The COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable bioinformatic pipelines for novel target identification and drug repurposing. METHODS: Extensive community work allowed an impressive step forward in building interfaces between Systems Biology tools and platforms. Our framework can link biomolecules from omics data analysis and computational modelling to dysregulated pathways in a cell-, tissue- or patient-specific manner. Drug repurposing using text mining and AI-assisted analysis identified potential drugs, chemicals and microRNAs that could target the identified key factors. RESULTS: Results revealed drugs already tested for anti-COVID-19 efficacy, providing a mechanistic context for their mode of action, and drugs already in clinical trials for treating other diseases, never tested against COVID-19. DISCUSSION: The key advance is that the proposed framework is versatile and expandable, offering a significant upgrade in the arsenal for virus-host interactions and other complex pathologies.

SEEK ID: https://publications.h-its.org/publications/2042

PubMed ID: 38414974

Research Groups: Scientific Databases and Visualisation

Publication type: Journal

Journal: Front Immunol

Citation: Front Immunol. 2024 Feb 13;14:1282859. doi: 10.3389/fimmu.2023.1282859. eCollection 2023.

Date Published: 29th Feb 2024

Registered Mode: by PubMed ID

Authors: A. Niarakis, M. Ostaszewski, A. Mazein, I. Kuperstein, M. Kutmon, M. E. Gillespie, A. Funahashi, M. L. Acencio, A. Hemedan, M. Aichem, K. Klein, T. Czauderna, F. Burtscher, T. G. Yamada, Y. Hiki, N. F. Hiroi, F. Hu, N. Pham, F. Ehrhart, E. L. Willighagen, A. Valdeolivas, A. Dugourd, F. Messina, M. Esteban-Medina, M. Pena-Chilet, K. Rian, S. Soliman, S. S. Aghamiri, B. L. Puniya, A. Naldi, T. Helikar, V. Singh, M. F. Fernandez, V. Bermudez, E. Tsirvouli, A. Montagud, V. Noel, M. Ponce-de-Leon, D. Maier, A. Bauch, B. M. Gyori, J. A. Bachman, A. Luna, J. Pinero, L. I. Furlong, I. Balaur, A. Rougny, Y. Jarosz, R. W. Overall, R. Phair, L. Perfetto, L. Matthews, D. A. B. Rex, M. Orlic-Milacic, L. C. M. Gomez, B. De Meulder, J. M. Ravel, B. Jassal, V. Satagopam, G. Wu, M. Golebiewski, P. Gawron, L. Calzone, J. S. Beckmann, C. T. Evelo, P. D'Eustachio, F. Schreiber, J. Saez-Rodriguez, J. Dopazo, M. Kuiper, A. Valencia, O. Wolkenhauer, H. Kitano, E. Barillot, C. Auffray, R. Balling, R. Schneider

help Submitter
Activity

Views: 136

Created: 11th Mar 2025 at 12:18

help Attributions

None

Powered by
(v.1.16.0)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH