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Record W3094185885 · doi:10.1002/jcp.30120

Target identification of a novel unsymmetrical 1,3,4‐oxadiazole derivative with antiproliferative properties

2020· article· en· W3094185885 on OpenAlexafffund
Weidong Lyu, Luca Sanna, Valentina Bordoni, Tiansheng Zeng, Chengxun Li, Gabriele Murineddu, Gérard A. Pinna, David J. Kelvin, Luigi Bagella

Bibliographic record

VenueJournal of Cellular Physiology · 2020
Typearticle
Languageen
FieldChemistry
TopicSynthesis and biological activity
Canadian institutionsDalhousie University
FundersUniversità degli Studi di SassariDalhousie Medical Research FoundationLi Ka Shing Foundation
KeywordsKEGGGeneComputational biologyBiologyTubulinFunction (biology)ChemistryGene ontologyGeneticsGene expressionMicrotubule

Abstract

fetched live from OpenAlex

1,3,4-Oxadiazole derivatives are widely used in research on antineoplastic drugs. Recently, we discovered a novel unsymmetrical 1,3,4-oxadiazole compound with antiproliferative properties called 2j. To further investigate its possible targets and molecular mechanisms, RNA-seq was performed and the differentially expressed genes (DEGs) were obtained after treatment. Data were analyzed using functional (Gene Ontology term) and pathway (Kyoto Encyclopedia of Genes and Genomes) enrichment of the DEGs. The hub genes were determined by the analysis of protein-protein interaction networks. The connectivity map (CMap) information provided insight into the model action of antitumor small molecule drugs. Hub genes have been identified through function gene networks using STRING analysis. The small molecular targets obtained by CMap comparison showed that 2j is a tubulin inhibitor and it acts mainly affecting tumor cells through the cell cycle, FoxO signaling pathway, apoptotic, and p53 signaling pathways. The possible targets of 2j could be TUBA1A and TUBA4A. Molecular docking results indicated that 2j interacts at the colchicine-binding site on tubulin.

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)0.000
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 score0.007
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.039
GPT teacher head0.220
Teacher spread0.180 · 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

Citations9
Published2020
Admission routes2
Has abstractyes

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