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Preprint . 2026
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ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ResearchGate Data
Preprint . 2026
Data sources: Datacite
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FireGate Biotech FG-001: In Silico Systems Analysis Supporting Triplet Mechanistic Complementarity

Authors: Rizzo, Daniel;

FireGate Biotech FG-001: In Silico Systems Analysis Supporting Triplet Mechanistic Complementarity

Abstract

Note on scope and intent This work is presented as a conceptual and mechanistic framework intended to guide future experimental and translational studies. The models, integration strategies, and proposed combinations described here reflect how we currently understand and approach the problem space, rather than a claim of completed validation. Specific implementations, datasets, and experimental confirmations are expected to evolve as the framework is tested, refined, and extended through ongoing and future work.

We performed an in silico systems-level functional association and enrichment analysis using the STRING database to assess whether a curated FG-001 Triplet axis gene/protein set forms a coherent non-random antiviral immune network. The analysis demonstrates highly signifi- cant protein–protein interaction enrichment and strong overrepresentation of antiviral response, interferon-associated innate immunity, and chemokine-mediated trafficking programs.

Keywords

HIV HIV-1 HIV cure host-directed therapy immunomodulation immune trafficking chemokines CCR5 PD-1 PD-L1 immune checkpoint broadly neutralizing antibodies bNAbs interferon signaling antiviral response systems biology network biology protein-protein interaction (PPI) STRING database Gene Ontology (GO) enrichment analysis in silico analysis computational biology mechanism-guided therapy combination therapy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average