Assessing Covalent Binding of Reactive Drug Metabolites by Complete Protein Digestion and LC–MS Analysis
Bibliographic record
Abstract
BACKGROUND: Covalent binding by reactive drug metabolites represents a poorly understood cause of drug toxicity. Currently, assessing protein covalent binding usually entails the use of radioactive drug and therefore has limited applicability in drug discovery. Several marketed drugs are known to form reactive metabolites and have been shown to covalently bind to proteins. RESULTS: In this article, we describe a new method for the analysis of reactive metabolite-protein binding by MS using a strategy of complete digestion of microsomal proteins into free amino acids. Immobilized pronase was found to be the best method for complete digestion in terms of stability of amino acid modifications as well as minimized spectral background. CONCLUSION: Modified cysteine residues were identified for four tested drug compounds known to form reactive metabolites following in vitro microsomal incubations and accurate mass measurements by LC-MS analysis.
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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 | 0.001 |
| 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".