Elucidation of Solvent Exposure, Side-Chain Reactivity, and Steric Demands of the Trifluoromethionine Residue in a Recombinant Protein
Bibliographic record
Abstract
When incorporated into proteins, fluorinated amino acids have been utilized as 19F NMR probes of protein structure and protein-ligand interactions, and as subtle structural replacements for their parent amino acids which is not possible using the standard 20-amino acid repertoire. Recent investigations have shown the ability of various fluorinated methionines, such as difluoromethionine (DFM) and trifluoromethionine (TFM), to be bioincorporated into recombinant proteins and to be extremely useful as 19F NMR biophysical probes. Interestingly, in the case of the bacteriophage lambda lysozyme (LaL) which contains only three Met residues (at positions 1, 14, and 107), four 19F NMR resonances are observed when TFM is incorporated into LaL. To elucidate the underlying structural reasons for this anomalous observation and to more fully explore the effect of TFM on protein structure, site-directed mutagenesis was used to assign each 19F NMR resonance. Incorporation of TFM into the M14L mutant resulted in the collapse of the two 19F resonances associated with TFM at position 107 into a single resonance, suggesting that when position 14 in wild-type protein contains TFM, a subtle but different environment exists for the methionine at position 107. In addition, 19F and [1H-13C]-HMQC NMR experiments have been utilized with paramagnetic line broadening and K2PtCl4 reactivity experiments to obtain information about the probable spatial position of each Met in the protein. These results are compared with the recently determined crystal structure of LaL and allow for a more detailed structural explanation for the effect of fluorination on protein structure.
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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) | 0.000 | 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".