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Tay–Sachs Disease

2010· other· en· W1950994326 on OpenAlexaff
Michael B. Tropak, Don J. Mahuran

Bibliographic record

VenueEncyclopedia of Life Sciences · 2010
Typeother
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsSandhoff diseaseGangliosidosisDiseaseTay-Sachs diseaseComputational biologyBiologyNeuroscienceMedicineBioinformaticsPathology

Abstract

fetched live from OpenAlex

Abstract GM2 gangliosidosis is a family of three diseases that include Tay–Sachs disease (described over a century ago), Sandhoff disease and the AB‐variant form, reflecting the need of three gene products to hydrolyse GM2 ganglioside. The recent elucidation of the crystal structures these three proteins have provided a better understanding of the molecular basis of GM2 gangliosidosis. The discovery that most deleterious missense mutations affect the folding or the assembly of the heterodimeric enzyme, and that delays in these processes invoke premature degradation by the endoplasmic reticulum‐quality control system, have suggested a novel therapeutic approach, enzyme enhancement therapy, for some forms of this and other genetic diseases. Progress is also being made on developing a more generally applicable approach, based on gene therapy, for Tay–Sachs and Sandhoff disease. If successful, this will also serve as a model for developing similar therapies for other diseases with neurological involvement. Key Concepts: The history of research into Tay–Sachs disease demonstrates the power of the classical scientific approach to problem solving involving building, over many decades, on the contributions from scientists with diverse interests and expertise. The study or rare diseases often lead to unexpected discoveries of broader‐based metabolic pathways and disease mechanisms. The study of rare diseases can also lead to the development of novel therapeutic approaches that can be adapted to more common diseases.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.058
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.021
GPT teacher head0.314
Teacher spread0.294 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2010
Admission routes1
Has abstractyes

Explore more

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