Construction of a comprehensive yeast endoplasmic reticulum interactome
Bibliographic record
Abstract
Protein-protein interactions in the endoplasmic reticulum (ER) are essential for concerted action of higher molecular complexes. However, the presence of transmembrane domains (TMDs) in many ER proteins and the environmental conditions of the ER prohibit protein-protein interactions from being identified in the ER. To detect interactions between membrane and luminal proteins of the ER, the ER Membrane Yeast Two-Hybrid (MYTH) system uses the ER type 1 membrane protein Ire1p as a reporter of protein interactions in the ER. A hyperactive Ire1p system was developed to determine the C-terminal topologies of ER and ER-related proteins to generate functional N-terminal fusions to Ire1p for the MYTH system. Among 256 proteins, which were hard to analyze on a high-throughput basis by other approaches, 454 interactions were identified. Results showed novel links between previously established biological processes, such as that between the SRP-dependent and independent pathways, and provided roles for ER and ER-related proteins.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".