Nsp1-Interacting Candidates: SARS-CoV-2 Protein Interaction Data from IP-MS

Immunoregulatory proteins from SARS-CoV-2 interfere with host antiviral defenses, playing a critical role in COVID 19 pathogenesis. This dataset contains candidate proteins identified through immunoprecipitation-mass spectrometry (IP-MS) as interacting with the viral nonstructural protein 1 (Nsp1). The work provides mechanistic insights into how Nsp1 suppresses the NF-κB signaling pathway to evade host immunity.

Use Cases

• Validate predicted protein-protein interactions based on the IP-MS experimental results.
• Study the mechanism of NF-κB pathway suppression based on the identified Nsp1-binding partners.
• Investigate TRIM21-mediated ubiquitination targets based on the Nsp1-TAK1 interaction data.
• Benchmark computational predictions from protein-language models against experimental interaction data.

Strengths

• Data is derived from a specific experimental method (IP-MS), providing direct evidence of protein interactions.
• Focuses on a key viral immunoregulator (Nsp1) with a described mechanistic link to the NF-κB pathway.
• Dataset is openly available under a CC-BY-4.0 license, permitting reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (29.7 KB), indicating a limited scope of identified candidates.

Provenance

Source

figshare

Collection Method

Candidate proteins identified via immunoprecipitation-mass spectrometry (IP-MS).

Time Range

null

Freshness

Last updated 2026-05-04 18:01:15; freshness should be verified.

Geography

null