Hemoglobin Rothschild: Structural Rationalization of Decreased O <sub>2</sub> Affinity as a Consequence of a β37(C3)Trp→Arg Mutation
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Bibliographic record
Abstract
Abstract Hemoglobin Rothschild is characterized by a β37(C3)Trp→Arg mutation that severely impairs wildtype hemoglobin function. This mutation has previously been documented to diminish conformational cooperativity, and thereby uppercut oxygen affinity. While the mutation is known to have direct implications on the hinge region at the α 1 β 2 interface, the immediate and indirect manifestations of this mutation have not been rendered using high-resolution molecular visualization software. Further unexplored is whether low O 2 affinity in Hb R is an outcome of a stabilized, unliganded, tetrameric T-state, a liganded, dimerized R-state deprived of quaternary enhancement, or a combination of both. Herein, PyMOL is used to rationalize the structural artifacts of the Rothschild variant that govern decreased O 2 affinity via a stabilized, tetrameric T-state Hb R , and decreased O 2 affinity via Hb R dimerization and loss of cooperative binding in the R-state. Molecular docking simulations were then performed to determine on what grounds O 2 affinity is most attenuated. The result shows that, at the 95% confidence level, reduced O 2 affinity in Hb R is just as much an outcome of a stabilized tetrameric T-state as it is a dimerized R-state lacking quaternary, subunit cooperativity. The work described here builds a statistical framework to accommodate further, pair-wise comparison of low O 2 affinity hemoglobin variants to build intuition on which primary sequence mutations pose the largest clinical consequences.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it