MétaCan
Menu
Back to cohort

Apobec3G-Based Strategies to Defeat HIV Infection

2016· review· en· W2340323570 on OpenAlexafffund
Xiaozhuo Ran, Zhujun Ao, Xiaojian Yao

Bibliographic record

VenueCurrent HIV Research · 2016
Typereview
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsAPOBEC3GCytidine deaminaseInnate immune systemBiologySAMHD1ImmunityVirologyImmunologyEvasion (ethics)Acquired immune systemImmune systemHuman immunodeficiency virus (HIV)Reverse transcriptaseAntibodyGeneticsGeneRNA

Abstract

fetched live from OpenAlex

BACKGROUND: To suppress HIV infection, host cells have evolved numerous defenses that generally belong to the innate and adaptive immune responses. Over the last decade, extensive efforts have been focused on understanding HIV restriction factors and mechanisms of evasion. The host protein APOBEC3G (A3G) was identified as a member of cytidine deaminase family in 2002, and it was shown that, in the absence of HIV encoded Vif, A3G can block the replication of HIV-1 by introducing viral hypermutations during reverse transcription, also conferring innate immunity to the virus. Hence, therapeutic exploitation of A3G as an antiviral therapy has received an increasing amount of attention. Recent studies have developed a series of strategies to abolish the interaction between Vif and A3G or facilitate A3G expression, thus enhancing active A3G formation and delivering A3G into virion. CONCLUSION: Here we present a review that discuss the role of A3G as a host innate immunity factor and its application in HIV therapy.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.202
GPT teacher head0.482
Teacher spread0.280 · 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

Citations9
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCurrent HIV ResearchSame topicHIV Research and TreatmentFrench-language works237,207