Bibliographic record
Abstract
The synthetic lethal screen is a method of isolating novel mutants whose survival is dependent on a gene of interest. Combining the colony-color assay with a synthetic lethal screen offers a means to visually detect a mutant that depends on a plasmid for survival. Screening for synthetic lethals can be achieved in four steps. First, the gene of interest must be mutated in a strain harboring the ade2 ade3/ade8 mutations and producing white colonies. A plasmid containing the ADE3/ADE8 gene and the wild-type gene of interest must then be transformed into the strain, which results in red colonies with white sectors where the plasmid has been lost. A mutagenesis is then required to introduce random mutations into the yeast genome. Any cell with a mutation that causes dependence on the gene of interest for survival must maintain the plasmid; these cells will produce solid red colonies. Finally, the mutants are transformed with a library. The mutants containing complementing DNA are no longer dependent on the plasmid carrying the gene of interest and thus the synthetic lethals are identified by their red-white sectoring phenotype. The synthetic lethal gene can be identified by isolating and sequencing plasmid DNA.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.024 |
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".