PROGENy Gene-Pathway Weight Matrix for SARS-CoV-2 Immune Perturbation Analysis

A 791.5 KB XLSX file containing a gene-pathway weight matrix derived from the PROGENy method. The dataset was created by Han-cheng Wei and last updated on 2026-05 04, with the goal of quantifying how SARS-CoV-2 proteins perturb host immune pathways. It supports a framework for identifying viral immunoregulators and provides insights into immune evasion mechanisms.

Use Cases

• Quantifying immune pathway perturbations based on integrated gene weights and protein-language model predictions.
• Identifying viral immunoregulators at the pathway level based on the described prediction algorithm.
• Analyzing the suppression of the NF-κB pathway by SARS-CoV-2 nonstructural protein 1 (Nsp1) based on the mechanistic insights provided.
• Modeling protein-protein interactions like Nsp1 binding to TAK1 based on the described biological findings.

Strengths

• Dataset is focused on a specific, high-impact research question regarding SARS-CoV-2 immune evasion.
• File size is 791.5 KB, making it quick to download and inspect.
• License is CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Generated by integrating a pretrained protein-language model and gene weights in immune-related pathways.

Time Range

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Freshness

Last updated 2026-05-04 18:01:09; freshness should be verified.

Geography

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