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Record W2313416533 · doi:10.1021/jm500629e

Multistage Screening Reveals Chameleon Ligands of the Human Farnesyl Pyrophosphate Synthase: Implications to Drug Discovery for Neurodegenerative Diseases

2014· article· en· W2313416533 on OpenAlexafffund
Joris W. De Schutter, Jaeok Park, Chun Yuen Leung, Patrick Gormley, Yih‐Shyan Lin, Zheping Hu, Albert M. Berghuis, Judes Poirier, Youla S. Tsantrizos

Bibliographic record

VenueJournal of Medicinal Chemistry · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsDouglas Mental Health University InstituteMcGill University
FundersCanadian Institutes of Health Research
KeywordsFarnesyl pyrophosphateChemistryDrug discoveryDrugFarnesyl-diphosphate farnesyltransferaseATP synthaseFarnesyl diphosphate synthasePyrophosphateBiochemistryPharmacologyEnzymePrenylationFarnesyltransferase

Abstract

fetched live from OpenAlex

Human farnesyl pyrophosphate synthase (hFPPS) is the gate-keeper of mammalian isoprenoids and the key target of bisphosphonate drugs. Bisphosphonates suffer from poor "drug-like" properties and are mainly effective in treating skeletal diseases. Recent investigations have implicated hFPPS in various nonskeletal diseases, including Alzheimer's disease (AD). Analysis of single nucleotide polymorphisms in the hFPPS gene and mRNA levels in autopsy-confirmed AD subjects was undertaken, and a genetic link between hFPPS and phosphorylated tau (P-Tau) levels in the human brain was identified. Elevated P-Tau levels are strongly implicated in AD progression. The development of nonbisphosphonate inhibitors can provide molecular tools for validating hFPPS as a therapeutic target for tauopathy-associated neurodegeneration. A multistage screening protocol led to the identification of a new monophosphonate chemotype that bind in an allosteric pocket of hFPPS. Optimization of these compounds could lead to human therapeutics that block tau metabolism and arrest the progression of neurodegeneration.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.266
Teacher spread0.258 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations34
Published2014
Admission routes2
Has abstractyes

Explore more

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