Heterodimerization of BAK and MCL-1 Activated by Detergent Micelles
Bibliographic record
Abstract
BAK is a key protein mediating mitochondrial outer membrane permeabilization; however, its behavior in the membrane is poorly understood. Here, we characterize the conformational changes in BAK and MCL-1 using detergents to mimic the membrane environment and study their interaction by in vitro pulldown experiments, size exclusion chromatography, titration calorimetry, and NMR spectroscopy. The nonionic detergent IGEPAL has little impact on the structure of MCL-1 but induces a conformational change in BAK, whereby its BH3 region is able to engage the hydrophobic groove of MCL-1. Although the zwitterionic detergent CHAPS induces only minor conformational changes in both proteins, it is still able to initiate heterodimerization. The complex of MCL-1 and BAK can be disrupted by a BID-BH3 peptide, which acts through binding to MCL-1, but a mutant peptide, BAK-BH3-L78A, with low affinity for MCL-1 failed to dissociate the complex. The mutation L78A in BAK prevented binding to MCL-1, thus demonstrating the essential role of the BH3 region of BAK in its regulation by MCL-1. Our results validate the current models for the activation of BAK and highlight the potential value of small molecule inhibitors that target MCL-1 directly.
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".