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

{ 'indexed': {'date-parts': [[2024, 2, 14]], 'date-time': '2024-02-14T01:14:03Z', 'timestamp': 1707873243452}, 'reference-count': 99, 'publisher': 'Frontiers Media SA', 'license': [ { 'start': { 'date-parts': [[2024, 2, 13]], 'date-time': '2024-02-13T00:00:00Z', 'timestamp': 1707782400000}, 'content-version': 'vor', 'delay-in-days': 0, 'URL': 'https://creativecommons.org/licenses/by/4.0/'}], 'content-domain': {'domain': ['frontiersin.org'], 'crossmark-restriction': True}, 'abstract': '<jats:sec><jats:title>Introduction</jats:title><jats:p>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. ' '</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>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. ' '</jats:p></jats:sec><jats:sec><jats:title>Discussion</jats:title><jats:p>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.</jats:p></jats:sec>', 'DOI': '10.3389/fimmu.2023.1282859', 'type': 'journal-article', 'created': {'date-parts': [[2024, 2, 13]], 'date-time': '2024-02-13T04:34:21Z', 'timestamp': 1707798861000}, 'update-policy': 'http://dx.doi.org/10.3389/crossmark-policy', 'source': 'Crossref', 'is-referenced-by-count': 0, 'title': 'Drug-target identification in COVID-19 disease mechanisms using computational systems biology ' 'approaches', 'prefix': '10.3389', 'volume': '14', 'author': [ {'given': 'Anna', 'family': 'Niarakis', 'sequence': 'first', 'affiliation': []}, {'given': 'Marek', 'family': 'Ostaszewski', 'sequence': 'additional', 'affiliation': []}, {'given': 'Alexander', 'family': 'Mazein', 'sequence': 'additional', 'affiliation': []}, 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