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Record W2807004385 · doi:10.1038/s41598-018-26318-3

Identification of small molecule compounds targeting the interaction of HIV-1 Vif and human APOBEC3G by virtual screening and biological evaluation

2018· article· en· W2807004385 on OpenAlexaff
Ling Ma, Zhixin Zhang, Zhenlong Liu, Qinghua Pan, Jing Wang, Xiaoyu Li, Fei Guo, Chen Liang, Laixing Hu, Jinming Zhou, Shan Cen

Bibliographic record

VenueScientific Reports · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill UniversityJewish General Hospital
FundersNational Cancer InstituteNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsAPOBEC3GIdentification (biology)Cell biologyHuman immunodeficiency virus (HIV)Viral replicationReplication (statistics)BiologySmall moleculePlasma protein bindingVirusVirologyGenetics

Abstract

fetched live from OpenAlex

Human APOBEC3G (hA3G) is a restriction factor that inhibits human immunodeficiency 1 virus (HIV-1) replication. The virally encoded protein Vif binds to hA3G and induces its degradation, thereby counteracting the antiviral activity of hA3G. Vif-mediated hA3G degradation clearly represents a potential target for anti-HIV drug development. Herein, we have performed virtual screening to discover small molecule inhibitors that target the binding interface of the Vif/hA3G complex. Subsequent biochemical studies have led to the identification of a small molecule inhibitor, IMB-301 that binds to hA3G, interrupts the hA3G-Vif interaction and inhibits Vif-mediated degradation of hA3G. As a result, IMB-301 strongly inhibits HIV-1 replication in a hA3G-dependent manner. Our study further demonstrates the feasibility of inhibiting HIV replication by abrogating the Vif-hA3G interaction with small molecules.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.315
Teacher spread0.278 · 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

Citations31
Published2018
Admission routes1
Has abstractyes

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