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Record W4399798796 · doi:10.5267/j.ccl.2024.4.002

Synthesis and evaluation of novel thiophene-dhpms designed having anti-breast cancer potential

2024· article· en· W4399798796 on OpenAlexvenueno aff
Dhirajkumar Nikam, Anurekha Jain, Shraddha Vetale, Ashwini Bhange, Shweta Jadhav

Bibliographic record

VenueCurrent Chemistry Letters · 2024
Typearticle
Languageen
FieldChemistry
TopicSynthesis and biological activity
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryThiopheneBreast cancerCancerCombinatorial chemistryOrganic chemistryInternal medicine

Abstract

fetched live from OpenAlex

The global rise of life-threatening diseases, particularly breast cancer, has emerged as a grave public health challenge. Recognizing the distinct structural demands of anti-breast cancer targets, we have synthesized Thiophene-DHPMs analogs by scaffold hopping approach to exhibit versatility having the ability to target proteins targets of cancer and their interactions contingent upon the various substitutions on them. We have harnessed MCRto synthesize novel Thiophene-DHPMs (4a-4d) derivatives introducing an efficient Biginelli protocol approach. All derivatives are characterized through techniques including FTIR and 1H NMR and evaluated by in vitro SRB assay method on MCF-7 cell line, compared against positive control ADR. Molecular docking studies against kinesin spindle protein Eg5 (1Q0B) revealed superior binding interactions and docking scores (> 8 Kcal) compared to the prototype Eg5 inhibitor Monastrol. Compound 4a binds via Hydrogen bond interaction to target Eg5 with ALA-133, PRO-137, TYR-211 In vitro evaluation of results indicates that compound 4a found to be moderately active (GI50 = -4.41) compared to positive control ADR (GI50 = -7.76) against MCF-7 cells. Compound 4a demonstrates significant activity due to the presence of R=C2H5, X= S, and thiophene ring.

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 categoriesInsufficient payload (model declined to judge)
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 score0.070
Threshold uncertainty score1.000

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)0.0010.000

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 head0.044
GPT teacher head0.295
Teacher spread0.251 · 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 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

Citations3
Published2024
Admission routes1
Has abstractyes

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