Quaternary-Linked Changes in Structure and Dynamics That Modulate O<sub>2</sub> Migration within Hemoglobin’s Gas Diffusion Tunnels
Bibliographic record
Abstract
Atomistic molecular dynamics simulations of diffusion of O2 from the hemes to the external solvent in the α- and β-subunits of the human hemoglobin (HbA) tetramer reveal transient gas tunnels that are not seen in crystal structures. We find here that the tunnel topology, which encompasses the reported experimental Xe binding cavities, is identical in HbA's T, R, and R2 quaternary states. However, the O2 population in the cavities and the preferred O2 escape portals vary significantly with quaternary structure. For example, most O2 molecules escape from the T β-subunit via the cavity at the center of the tetramer, but direct exit from the distal heme pocket dominates in the R2 β-subunit. To understand what triggers the quaternary-linked redistribution of O2 within its tunnels, we examined how the simulated tertiary structure and dynamics of each subunit differs among T, R, and R2 and report that minor adjustments in α-chain dynamics and β-heme position modulate O2 distribution and escape in HbA. Coupled to the β-heme position, residue βF71 undergoes quaternary-linked conformations that strongly regulate O2 migration between the β-subunit and HbA's central cavity. Remarkably, the distal histidine (HisE7) remains in a closed conformation near the α- and β-hemes in all states, but this does not prevent an average of 23, 31, and 46% of O2 escapes from the distal heme pockets of T, R, and R2, respectively, via several distal portals, with the balance of escapes occurring via the interior tunnels. Furthermore, preventing or restricting the access of O2 to selected cavities by mutating HisE7 and other heme pocket residues to tryptophan reveals how O2 migration adjusts to the bulky indole ring and sheds light on the experimental ligand binding kinetics of these variants. Overall, our simulations underscore the high gas porosity of HbA in its T, R, and R2 quaternary states and provide new mechanistic insights into why undergoing transitions among these states likely ensures effective O2 delivery by this tetrameric protein.
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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".