Meet the Anti-CRISPRs: Widespread Protein Inhibitors of CRISPR-Cas Systems
Bibliographic record
Abstract
The constant selective pressure exerted by phages, the viruses that infect bacteria, has led to the evolution of a wide range of anti-phage defenses. One of these defense mechanisms, CRISPR-Cas, provides an adaptive immune system to battle phage infection and inhibit horizontal gene transfer by plasmids, transposons, and other mobile genetic elements. Although CRISPR-Cas systems are widespread in bacteria and archaea, they appear to have minimal long-term evolutionary effects with respect to limiting horizontal gene transfer. One factor that may contribute to this may be the presence of potent inhibitors of CRISPR-Cas systems, known as anti-CRISPR proteins. Forty unique families of anti-CRISPR proteins have been described to date. These inhibitors, which are active against both Class 1 and 2 CRISPR-Cas systems, have a wide range of mechanisms of activity. Studies of these proteins have provided important insight into the evolutionary arms race between bacteria and phages, and have contributed to the development of biotechnological tools that can be harnessed for control of CRISPR-Cas genome editing.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.006 |
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".