Investigation of potential Z-DNA binding proteins in Halobacter salinarum & Preparation and characterization of DNA samples
Bibliographic record
Abstract
Halophiles require high salt concentrations, from 3.5 up to 5 M, in their environments to function and survive. The adaptations that allow halophiles such as Halobacter salinarum to survive in high saline conditions are well studied. However, the differences in proteins produced by halophiles as compared to organisms inhabiting low salinity environments are not well understood. In this project, oligonucleotides will be developed to study potential Z-DNA binding proteins. Z-DNA forming d(CG)n repeats will be synthesized with a linker tail attached to a non-cleavable solid support, allowing the sequences to be retrieved from H. salinarum lysate together with potential Z-DNA binding proteins. The synthesis of d(CG)18(Spacer9)10 was successful with a 98% detritylation yield. Addition of DBCO phosphoramidites to d(CG)18(Spacer9)10 was unsuccessful. Mass spectrometric analysis of purified products suggested failure in the synthesis. DNA is a stable compound when stored as a dried stock, however, there has been recent interest in using DNA as barcodes to identify oil and natural gas sources underground. For this application, the underground temperature and pH vary, and the effects of these conditions on the stability on DNA have not been studied. In this project, the degradation of a 21 nucleotide DNA sequence will be studied. The DNA sequence was found to be stable at pH above 6 at 30-90°C, but quickly underwent degradation at pH below 5.
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 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 | 0.000 |
| 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 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".