Bibliographic record
Abstract
Since the 1950's, herpes simplex viruses (HSV) have played prominent roles in the development of antivirals. The first efficacious antivirals, as well as the first safe for systemic use, were developed against HSV. It was only in 1995 when the first antiviral against a target not validated first with HSV was approved for clinical use (sequinavir). The early successes of targeting HSV DNA replication were most influential in developing the concept that antiviral drugs must target viral proteins. Such concept has ensured the safety of current antiviral drugs, which all target viral proteins. Current antivirals have proven to have no major negative effects on non-infected cells or treated patients. Because of their success widespread and use, however, these drugs have been found to have some limitations. Perhaps the clinically most important one is their ability to promptly select for drug-resistant viral strains. Owing to such limitations, cellular proteins are now considered as valid targets for novel antiviral drugs. The discovery that pharmacological CDK inhibitors (PCIs) inhibit HSV replication through novel mechanisms played a major role in this new appreciation of cellular proteins as potential targets for antivirals. This appreciation is reflected in the scheduling of PCIs to enter clinical trials as antivirals (against HIV). Herein, we will review the roles of HSV as model viruses in the discovery and development of antiviral drugs. The major focus will be on the recent discovery on the activities of PCIs against HSV and other viruses.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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 teacher head, 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".