Force-Induced Insulin Dimer Dissociation: A Molecular Dynamics Study
Bibliographic record
Abstract
Understanding the forces and dynamics of insulin dissociation is critical for devising formulations for the treatment of insulin-dependent diabetes. In earlier work, we applied AFM-based force spectroscopy to covalently tethered and oriented insulin monomers to assess the effect of molecular orientation on insulin-insulin binding forces. We report here on steered molecular dynamics simulations of the insulin dissociation force spectroscopy experiment. Consistent with our experiments, our simulation results suggest that insulin dimer dissociation occurs near the limit of extensibility of the B-chain. We have also found that the forced dissociation of the insulin dimer is a rate-dependent process, involving significant conformational changes to the monomer(s). The insulin dimer dissociation pathway also depends on the relative strength of the inter-monomer interactions across the antiparallel beta-sheet interface and the intra-monomer interactions of residues A1 and A30 with the insulin B-chain. Our simulation results strongly support the design of bioactive insulin analogues that involves altering hydrogen bonding and hydrophobic interactions across the beta-sheet dimer interface.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".