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Record W4210345735 · doi:10.1177/1934578x221075083

Synthesis and Evaluation of Acylated Derivatives of Hederagenin as Inhibitors of HIV-1 and HCV NS3/4A Proteases

2022· article· en· W4210345735 on OpenAlexaff
Qing Liu, Ying Wei, Yong‐Jia Hao, Jian Yang, Bo‐Wen Pan, Xiaosheng Yang, Ying Zhou, Xia Wang

Bibliographic record

VenueNatural Product Communications · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhytochemical compounds biological activities
Canadian institutionsUniversity of Saskatchewan
FundersNational Natural Science Foundation of China
KeywordsProteasesHederageninNS3ProteaseChemistryIn vitroBiochemistryProtease inhibitor (pharmacology)TrypsinHuman immunodeficiency virus (HIV)EnzymeBiologyVirologyTriterpeneMedicine

Abstract

fetched live from OpenAlex

Viral infection imposes a major threat to human health. To develop new potent antiviral agents, Hederagenin (HE), a known inhibitor of HIV-1 and HCV NS3/4A proteases, was used as a starting material to synthesize 4 types of HE derivatives, HE-3,23-diacyl, HES-3,23-diacyl, HES-3-acyl, and HES-3-oxo-23-acyl. We evaluated the in vitro inhibitory activities of the derivatives against HIV-1 and HCV NS3/4A proteases. (3 β,23)-Di- O-diglutaryl-hederagenin (1b) and (3 β,23)-di- O-(3′,3′-dimethylsuccinyl-hederagenin ethyl ester (2b) exhibited potent inhibitory activities against the HIV-1 and/or HCV NS3/4A proteases with IC 50 values < 10 μM, but did not appreciably inhibit general human proteases renin and trypsin. The SARs showed that dicarboxylic acid hemiesters of HE significantly enhance the antiviral activities when C3 or C23 are linked with 6 carbon acyl chains.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 head0.031
GPT teacher head0.301
Teacher spread0.270 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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Same venueNatural Product CommunicationsSame topicPhytochemical compounds biological activitiesFrench-language works237,207