PURIFICATION OF MONOCLONAL ANTIBODIES FROM PLANTS
Bibliographic record
Abstract
This chapter discusses the advantages and constraints of plants as a platform technology, particularly with respect to downstream processing. It shows generic downstream processing steps for plant tissue expressing monoclonal antibodies (mAbs). These steps include: the disintegration of tissue/cells to release the target mAb; solids separation and clarification; pretreatment of the clarified extract; product capture and purification by affinity chromatography or other biospecific interactions; and product polishing. In mammalian systems, Protein A affinity chromatography has become the industry-wide workhorse for the capture and purification of mAbs, and as would be expected, the use of Protein A has extended to plant systems. The high cost of Protein A resin for the capture of mAbs and Fc fusion proteins has led to the evaluation of alternative process schemes for the purification of mAbs from both mammalian cell cultures and plant tissue extracts.
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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".