SocialViruses: integrating quantitative phage–bacteria and phage–phage interaction networks for rational cocktail design
Year: 2024
Type: article
Abstract: Motivation: Phage therapy is emerging as a promising alternative to antibiotics in biomedical research, highlighting the growing need for computational tools to rationally design effective phage cocktails. However, its clinical potential is often compromised by the evolution of heritable bacterial resistance, which is frequently exacerbated by repeated phage exposure. This can lead to broad-spectrum cross-resistance and reduced long-term efficacy. Existing approaches typically rely on host range matrices but often overlook viral interference and the complex, non-binary nature of virus-host interactions. Results: integrates quantitative host range infection and virus-virus interaction matrices to guide cocktail design. It produces a detailed report with key quality metrics and allows users to define multiple cocktails while minimizing viral interference and managing co-infection redundancy. Availability and implementation: is freely available as a Cytoscape application and can be downloaded from: https://apps.cytoscape.org/apps/SocialViruses.
Source: Bioinformatics Advances
Institution: Universidad de Extremadura
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,917
Awards: G3990393904, G675437911
OpenAlex ID: W4414622973
