Name
Abstract | ||
|---|---|---|
Drug repurposing involves the identification of new applications for existing drugs at a lower cost and in a shorter time. There are different computational drug-repurposing strategies and some of these approaches have been applied to the coronavirus disease 2019 (COVID-19) pandemic. Computational drug-repositioning approaches applied to COVID-19 can be broadly categorized into (i) network-based models, (ii) structure-based approaches and (iii) artificial intelligence (AI) approaches. Network-based approaches are divided into two categories: network-based clustering approaches and network-based propagation approaches. Both of them allowed to annotate some important patterns, to identify proteins that are functionally associated with COVID-19 and to discover novel drug-disease or drug-target relationships useful for new therapies. Structure-based approaches allowed to identify small chemical compounds able to bind macromolecular targets to evaluate how a chemical compound can interact with the biological counterpart, trying to find new applications for existing drugs. AI-based networks appear, at the moment, less relevant since they need more data for their application. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1093/bib/bbaa288 | BRIEFINGS IN BIOINFORMATICS |
Keywords | DocType | Volume |
COVID-19, network-based approaches, molecular docking, AI, new therapies, drug repurposing | Journal | 22 |
Issue | ISSN | Citations |
2 | 1467-5463 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serena Dotolo | 1 | 1 | 0.35 |
| Anna Marabotti | 2 | 6 | 5.15 |
| Angelo Facchiano | 3 | 72 | 9.55 |
| R. Tagliaferri | 4 | 128 | 12.91 |