Purification and Biophysical Characterization of a Minimal Functional Domain and of an N-Terminal Zn<sup>2+</sup>-Binding Fragment from the Human Papillomavirus Type 16 E6 Protein
Bibliographic record
Abstract
The E6 Zn(2+)-binding protein of high-risk human papillomaviruses (HPVs) is one of the major transforming proteins encoded by these tumor viruses. A bacterial system was used to express wild type and truncated forms of HPV-16 E6 linked to GST. The recombinant proteins were released from GST through cleavage of a factor Xa site. Functional analysis of these proteins demonstrated that amino acids 2--142 comprise the minimal domain of E6 required to promote the degradation of p53 in vitro in a rabbit reticulocyte lysate. This purified protein, E6(Delta 143--151), required a high salt concentration for maximum solubility, eluted as a monomer on gel filtration, and was shown to bind two Zn(2+) ions by atomic absorption analysis. An N-terminal subdomain of E6 (amino acids 2--77, E6-N) was similarly purified. Unlike E6(Delta 143--151), E6--N was very soluble in low-salt buffers and hence was highly amenable to biophysical characterization. E6-N was shown to bind one Zn(2+) ion by electrospray mass spectrometry and by atomic absorption analysis. UV--visible spectroscopic analysis of Co(2+)-substituted E6--N revealed that four cysteine residues coordinate the metal ion. Mutational studies of all the cysteine residues in E6--N substantiated a critical role for Cys 30, 33, 63, and 66 in Zn(2+) binding and in proper folding of the subdomain. Equilibrium sedimentation of E6-N demonstrated that it is a monomer, like E6(Delta 143--151), at low concentrations, but dimerization occurs at high concentrations (K(d) = 0.1 mM). Finally, circular dichroism studies revealed significant secondary structure for both E6(Delta 143--151) and E6--N. The results support a model of monomeric E6 possessing two functionally critical Zn(2+)-binding motifs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".