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Record W4405184689 · doi:10.1101/2024.12.06.627233

An all-atom view into the disordered interaction interface of the TRIM5 <i>α</i> PRYSPRY domain and the HIV capsid

2024· preprint· en· W4405184689 on OpenAlexafffund
Liam Haas‐Neill, Deniz Meneksedag‐Erol, Ibraheem Andeejani, Sarah Rauscher

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsConcordia UniversityUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCapsidDomain (mathematical analysis)Atom (system on chip)Human immunodeficiency virus (HIV)Interface (matter)CrystallographyChemistryMaterials scienceComputer scienceVirologyBiologyVirusMathematicsBiochemistryEmbedded system

Abstract

fetched live from OpenAlex

Abstract Tripartite motif-containing protein 5, alpha isoform (TRIM5 α ) is an innate immune factor that provides rhesus macaques with immunity to HIV. Despite high sequence similarity to rhesus TRIM5 α , human TRIM5 α weakly restricts HIV without the introduction of mutations. The structural underpinnings of this functional difference are poorly understood because the interaction interface between TRIM5 α and its target, the HIV capsid, involves intrinsically disordered regions. Here, we use all-atom molecular dynamics simulations to study several TRIM5 α variants: rhesus TRIM5 α , human TRIM5 α , and human TRIM5 α with an R332P mutation (a mutation known to enhance HIV restriction). Our data reveal differences in the conformational ensembles of wild-type and R332P human TRIM5 α , including a significant increase in the formation of a turn that includes the mutation site residue. We also carried out simulations of rhesus TRIM5 α in complex with the HIV capsid protein. Our results indicate that the variable loops of TRIM5 α are highly flexible, both in solution and in the complex with the capsid, indicative of a fuzzy interaction interface. Simulations of the complex, as well as experimental infections, indicate the basis for weak HIV restriction by human TRIM5 α that is improved by an R332P mutation: replacing the positively charged arginine with a neutral residue decreases electrostatic repulsion with residue R82 of the capsid protein, which can be phenocopied by neutralizing mutations at capsid residue R82. Overall, our simulations provide a first view of the atomistic details of the HIV capsid-TRIM5 α binding interface and a molecular mechanism for the observed functional differences between variants of the TRIM5 α protein. Significance Statement Humans and viruses are engaged in an evolutionary arms race, which involves evolutionary cycles in which viruses escape host defense and hosts evolve to chase after them. The protein TRIM5 α is a crucial part of the immune system’s defense against viruses, and the region of TRIM5 α that interacts with viral capsids is evolving rapidly. While a wealth of structural information is separately available for the HIV capsid protein and TRIM5 α , the interaction interface between these two proteins remains poorly understood because it involves multiple disordered regions. We present a first atomistic view of the TRIM5 α -capsid interaction interface using all-atom molecular dynamics simulations. We use our model of the interface and the probabilistic description of interactions to explain the improved HIV restriction of a mutation in the human TRIM5 α protein, which has been proposed for human gene therapy, in terms of specific electrostatic interactions. Finally, we validate our findings with experimental infections. Our data provide detailed structural insight into how TRIM5 evolves improved restriction against its retroviral targets.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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