81 High-Confidence Nuclear Pore Heterodimer Complexes from Proximity Labeling

A collection of 81 high-confidence heterodimer protein complexes related to the nuclear pore and mRNA metabolism. The dataset was created by Yu Tang of Peking University as part of a proximity labeling-based profiling study. The specific publication date and data collection time range are not provided in the input.

Use Cases

• Validate protein-protein interaction predictions based on the curated list of 81 heterodimers.
• Study the role of specific nuclear pore components in mRNA metabolism based on the identified complexes.
• Benchmark computational models for protein complex identification against this high-confidence set.

Strengths

• Contains 81 high-confidence heterodimer complexes, providing a focused and validated set.
• Derived from a proximity labeling-based profiling study, suggesting an experimental basis for the interactions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Yu Tang, Peking University

Collection Method

Proximity labeling-based profiling, as described in the associated publication.