Viscosity-dependent Relaxation Significantly Modulates the Kinetics of CO Recombination in the Truncated Hemoglobin TrHbN from Mycobacterium tuberculosis
Bibliographic record
Abstract
Kinetic traces were generated for the nanosecond and slower rebinding of photodissociated CO to trHbN in solution and in porous sol-gel matrices as a function of viscosity, conformation, and mutation. TrHbN is one of the two truncated hemoglobins from Mycobacterium tuberculosis. The kinetic traces were analyzed in terms of three distinct phases. These three phases are ascribed to rebinding: (i) from the distal heme pocket, (ii) from the adjacent apolar tunnel prior to conformational relaxation, and (iii) from the apolar tunnel subsequent to conformational relaxation. The fractional content of each of these phases was shown to be a function of the viscosity and, in the case of the sol-gel-encapsulated samples, sample preparation history. The observed kinetic patterns support a model consisting of the following elements: (i) the viscosity and conformation-sensitive dynamics of the Tyr(B10) side chain facilitate diffusion of the dissociated ligand from the distal heme pocket into the adjacent tunnel; (ii) the distal heme pocket architecture determines ligand access from the tunnel back to the heme iron; (iii) the distal heme pocket architecture is governed by a ligand-dependent hydrogen bonding network that limits the range of accessible side chain positions; and (iv) the apolar tunnel linking the heme site to the solvent biases the competition between water and ligand for occupancy of the vacated polar distal heme pocket greatly toward the nonpolar ligand. Implications of these finding with respect to biological function are discussed.
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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 | 0.001 |
| 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 | 0.000 | 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 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".