Bioseparation of Recombinant Proteins from Plant Extract with Hydrophobin Fusion Technology
Bibliographic record
Abstract
Two main hurdles hinder the widespread acceptance of plants as a preferred protein expression platform: low accumulation levels and expensive chromatographic purification methods. Fusion of proteins of interest to fungal hydrophobins has provided a tool to address both accumulation and purification issues. In this method, we describe the one-step purification of a GFP-HFBI fusion from crude plant extract using an aqueous two-phase system (ATPS). ATPS can be carried out in a very short time frame, yields relatively pure protein with very few contaminants, and does not require any chromatographic column steps. This purification system takes advantage of the affinity of hydrophobins to the micellar phase of widely available nonionic surfactants, such as Triton X-114, and can be easily scaled up for industrial-scale protein purification.
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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".