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2-Methoxy-6-Acetyl-7-Methyljuglone: A Bioactive Phytochemical with Potential Pharmacological Activities

2021· review· en· W3175385934 on OpenAlexaff
Atif Ali Khan Khalil, Asma Saleem Qazi, Abdul Nasır, Mi‐Jeong Ahn, Muhammad Ajmal Shah, Muhammad Saad Ahmad, Wasim Sajjad, Tahir Ali, Muhammad Naeem, Fawad Ali Shah, Muhammad Tufail Ahmed Khan, Muhammad Romman, Shahfiq Ur Rehman, Adnan Haider, Raishma Noor

Bibliographic record

VenueAnti-Cancer Agents in Medicinal Chemistry · 2021
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioactive natural compounds
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNecroptosisPhytochemicalNatural productPharmacologyAntimicrobialTraditional medicineBiologyChemistryMedicineApoptosisBiochemistryProgrammed cell deathMicrobiology

Abstract

fetched live from OpenAlex

Natural products have been the focus of biomedical and pharmaceutical research to develop new therapies in recent years. 2-methoxy-6-acetyl-7-methyljuglone (2-methoxystypandrone, MAM) a natural bioactive juglone derivative, is known to have various levels of pharmacotherapeutic efficacies as an anti-inflammatory, anticancer, antioxidant, antimicrobial, and anti-HIV activities. MAM fights cancer progression by inducing apoptosis, necroptosis and deregulating signaling pathways through H2O2-induced JNK/iNOS/NO and MAPK, ERK1/2 pathways, JNK activation, and the RIP1/RIP3 complex. In this review, we summarize the pharmacological importance of MAM in the field of drug discovery. Furthermore, this review not only emphasizes the medicinal properties of MAM, but also discusses its potential efficacy in future medicinal products.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.397
Teacher spread0.353 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2021
Admission routes1
Has abstractyes

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