The Importin β Binding Domain Modulates the Avidity of Importin β for the Nuclear Pore Complex
Bibliographic record
Abstract
Importin beta mediates active passage of cellular substrates through the nuclear pore complex (NPC). Adaptors such as importin alpha and snurportin associate with importin beta via an importin beta binding (IBB) domain. The intrinsic structural flexibility of importin beta allows its concerted interactions with IBB domains, phenylalanine-glycine nucleoporins, and the GTPase Ran during transport. In this paper, we provide evidence that the nature of the IBB domain modulates the affinity of the import complex for the NPC. In permeabilized cells, importin beta imports a cargo fused to the snurportin IBB (sIBB) with approximately 70% reduced energy requirement as compared with the classical importin alpha IBB. At the molecular level, this is explained by approximately 200-fold reduced affinity of importin beta for Nup62, when bound to the sIBB. Consistently, in vivo, the importin beta.sIBB complex has greatly reduced persistence inside the central channel of the NPC. We propose that by controlling the degree of strain in the tertiary structure of importin beta, the IBB domain modulates the affinity of the import complex for nucleoporins, thus dictating its persistence inside the NPC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".