Fast Comparative Structural Characterization of Intact Therapeutic Antibodies Using Hydrogen–Deuterium Exchange and Electron Transfer Dissociation
Bibliographic record
Abstract
Higher-order structural characterization plays an important role in many stages of therapeutic antibody production. Herein, we report a new top-down mass spectrometry approach for characterizing the higher-order structure of intact antibodies, by combining hydrogen/deuterium exchange (HDX), subzero temperature chromatography, and electron transfer dissociation on the Orbitrap mass spectrometer. Individual IgG domain-level deuteration information was obtained for 6 IgG domains on Herceptin (HER), which included the antigen binding sites. This is the first time that top-down HDX has been applied to an intact protein as large as 150 kDa, which has never been done before on any instrument. Ligand-binding induced structural differences in HER were determined to be located only on the variable region of the light chain. Global glycosylation profile of antibodies and HDX property of the glycoforms were also determined by accurate intact mass measurements. Although the presence of disulfide bonds prevent the current approach from being able to obtain amino acid level structural information within the disulfide-linked regions, the advantages such as minimal sample manipulation, fast workflow, very low level of back exchange, and simple data analysis, make it well-suited for fast comparative structural evaluation of intact antibodies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".