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Record W2972314280 · doi:10.1002/pro.3729

Structural perspectives on HIV‐1 Vif and APOBEC3 restriction factor interactions

2019· review· en· W2972314280 on OpenAlexafffund
Farshad C. Azimi, Jeffrey E. Lee

Bibliographic record

VenueProtein Science · 2019
Typereview
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchUniversity of TorontoCanada Research Chairs
KeywordsHuman immunodeficiency virus (HIV)GeneticsComputational biologyBiologyEvolutionary biologyVirology

Abstract

fetched live from OpenAlex

T cells, macrophages, and dendritic cells. The human apolipoprotein B mRNA- editing catalytic polypeptide 3 (APOBEC3 or A3) cytidine deaminases are a key class of intrinsic restriction factors that inhibit replication of HIV. When HIV-1 enters the cell, the immune system responds by inducing the activation of the A3 family proteins, which convert cytosines to uracils in single-stranded DNA replication intermediates, neutralizing the virus. HIV counteracts this intrinsic immune response by encoding a protein termed viral infectivity factor (Vif). Vif targets A3 to an E3 ubiquitin ligase complex for poly-ubiquitination and proteasomal degradation. Vif is unique in that it can recognize and counteract multiple A3 restriction factor substrates. Structural biology studies have provided significant insights into the overall architectures and functions of Vif and A3 proteins; however, a structure of the Vif-A3 complex has remained elusive. In this review, we summarize and reanalyze experimental data from recent structural, biochemical, and functional studies to provide key perspectives on the residues involved in Vif-A3 protein-protein interactions.

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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.079
GPT teacher head0.384
Teacher spread0.305 · 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

Citations30
Published2019
Admission routes2
Has abstractyes

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