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Record W4413113455 · doi:10.1093/genetics/iyaf141

Drug screens using the nematode <i>Caenorhabditis elegans</i>

2025· review· en· W4413113455 on OpenAlexafffund
Peter J. Roy

Bibliographic record

VenueGenetics · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsCanada Research ChairsUniversity of Toronto
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsCaenorhabditis elegansBiologyGeneticsCaenorhabditisNematodeComputational biologyGeneEcology

Abstract

fetched live from OpenAlex

Since its inception as a model system, Caenorhabditis elegans has provided insight about the mechanism of action of drugs through genetic analyses. With the arrival of diverse drug-like small molecule libraries sometime later, the worm also became a platform for drug discovery that was previously inaccessible to academics. Here, the history of larger-scale drug screens using C. elegans is reviewed. The current approaches used to identify the targets and targeted pathways of the novel hits from these screens are also discussed. We focus on the development of small molecule tools for biological investigation, the discovery of novel candidate nematicides and anthelmintics, and touch on screens related to other areas of biology, including neurodegeneration. Finally, we draw attention to the fundamental aspects of C. elegans biology that lends itself to chemical genetic research. When combined with diverse small molecule libraries, the worm's tractability and genetic power make it an unparalleled whole-animal model system for early-stage drug discovery.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.004

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.

Opus teacher head0.025
GPT teacher head0.305
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations10
Published2025
Admission routes2
Has abstractyes

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