Hydrogen Bonding and Noncovalent Electric Field Effects in the Photoconversion of a Phytochrome
Bibliographic record
Abstract
A profound understanding of protein structure and mechanism requires dedicated experimental and theoretical tools to elucidate electrostatic and hydrogen bonding interactions in proteins. In this work, we employed an approach to disentangle noncovalent and hydrogen-bonding electric field changes during the reaction cascade of a multidomain protein, i.e., the phytochrome Agp2. The approach exploits the spectroscopic properties of nitrile probes commonly used as reporter groups of the vibrational Stark effect. These probes were introduced into the protein through site-specific incorporation of noncanonical amino acids resulting in four variants with different positions and orientations of the nitrile groups. All substitutions left structures and the reaction mechanism unchanged. Structural models of the dark states (Pfr) were used to evaluate the total electric field at the nitrile label and its transition dipole moment. These quantities served as an internal standard to calculate the respective properties of the photoinduced products (Lumi-F, Meta-F, and Pr) based on the relative intensities of the nitrile stretching bands. In most cases, the spectral analysis revealed two substates with a nitrile in a hydrogen-bonded or hydrophobic environment. Using frequencies and intensities, we managed to extract the noncovalent contribution of the electric field from the individual substates. This analysis resulted in profiles of the noncovalent and hydrogen-bond-related electric fields during the photoinduced reaction cascade of Agp2. These profiles, which vary significantly among the four variants due to the different positions and orientations of the nitrile probes, were discussed in the context of the molecular events along the Pfr → Pr reaction cascade.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".