A rapid and universal tandem‐purification strategy for recombinant proteins
Why this work is in the frame
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Bibliographic record
Abstract
A major goal in the production of therapeutic proteins, subunit vaccines, as well as recombinant proteins needed for structure determination and structural proteomics is their recovery in a pure and functional state using the simplest purification procedures. Here, we report the design and use of a novel tandem (His)(6)-calmodulin (HiCaM) fusion tag that combines two distinct purification strategies, namely, immobilized metal affinity (IMAC) and hydrophobic interaction chromatography (HIC), in a simple two-step procedure. Two model constructs were generated by fusing the HiCaM purification tag to the N terminus of either the enhanced green fluorescent protein (eGFP) or the human tumor suppressor protein p53. These fusion constructs were abundantly expressed in Escherichia coli and rapidly purified from cleared lysates by tandem IMAC/HIC to near homogeneity under native conditions. Cleavage at a thrombin recognition site between the HiCaM-tag and the constructs readily produced untagged, functional versions of eGFP and human p53 that were >97% pure. The HiCaM purification strategy is rapid, makes use of widely available, high-capacity, and inexpensive matrices, and therefore represents an excellent approach for large-scale purification of recombinant proteins as well as small-scale protein array designs.
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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 | 0.002 | 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 | 0.001 |
| 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 it