Neurofibromatosis Type 1 and the Search for Effective Tumor Therapies Using High-Throughput Drug Screening
Bibliographic record
Abstract
Neurofibromatosis type 1 (NF1) is a complex, multisystem, genetic disorder caused by germline NF1 variants that predispose affected individuals to tumors of the nervous system. With the identification of the NF1 gene in the late 1980s and the elucidation of the role of the encoded protein, neurofibromin, in regulating RAS signaling, considerable research effort has been invested to identify therapeutic treatments for NF1 tumors. Over the past two decades, high-throughput drug screening approaches have been a significant component of these endeavors. However, considerable variability exists among studies in terms of disease models, symptom targets, screening libraries, methods, and outcomes. In this review, we present an overall summary of efforts toward discovering new therapeutic strategies for NF1-related tumors using high-throughput screening and how such findings can be employed for prospective research in the NF1 field.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".