2-D NMR Assesses Biosimilar Structure
Bibliographic record
Abstract
Before a biosimilar version of a protein therapeutic drug can be approved, the manufacturer of the new product must demonstrate that its properties and activity are comparable to the original drug. Determining higher order protein structure is an important part of establishing biosimilarity. In an interlaboratory study, researchers at the U.S. Food & Drug Administration, Health Canada, the National Institute of Standards & Technology, and the Medical Products Agency of Sweden show that two-dimensional NMR is reliably precise enough for the job (Nat. Biotechnol. 2016, DOI: 10.1038/nbt.3474). The researchers visually compared the similarity of spectral patterns and also used statistical methods to compare the chemical shifts of each signal from 2-D NMR experiments run on different instruments for the brand-name drug Neupogen, generically known as filgrastim, and three biosimilar versions. The precision across six spectrometers in four labs was found to be better than 10 ppb and almost as good
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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".