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Record W2119514403 · doi:10.1002/rcm.231

Self‐association of an amphipathic helix peptide inhibitor of HIV‐1 integrase assessed by electro spray ionization mass spectrometry in trifluoroethanol/water mixtures

2001· article· en· W2119514403 on OpenAlexaff
Serge Fermandjian, R. S. Maroun, Badia Amekraz, Christopher K. Jankowski

Bibliographic record

VenueRapid Communications in Mass Spectrometry · 2001
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsUniversité de Moncton
FundersSidaction
KeywordsChemistryIntegraseElectrospray ionizationMonomerMass spectrometryCrystallographyDNAChromatographyOrganic chemistryBiochemistryPolymer

Abstract

fetched live from OpenAlex

Establishing the auto-associative properties of a molecule in solution can be important for determination of its structure and function. EAA26 (VESMNEELKKIIAQVRAQAEHLKTAY) has been designed to inhibit HIV-1 integrase via formation of a stable coiled-coil structure with a nearly homologous segment in the enzyme. The latter catalyzes the permanent incorporation of a DNA copy of the retrovirus genome into host cell DNA, and is thus essential to the life of the retrovirus. This makes integrase an obvious drug target in the therapy of AIDS. The present work has demonstrated, using electrospray ionization mass spectrometry (ESI-MS), that EAA26 is monomeric in pure water, and tetrameric and dimeric at respectively low and medium concentrations of 2,2,2-trifluoroethanol (TFE), and again monomeric at higher TFE concentrations. Thus, the apolar solvent TFE may contribute to either stabilization or disruption of the intermolecular hydrophobic contacts depending on its concentration in aqueous solution. Previous NMR and ultracentifugation results are thus confirmed, indicating the reliability of ESI-MS for defining the self-association state of biologically relevant peptides in both water and organic-water solutions.

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 score0.002

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)0.0000.000

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 head0.011
GPT teacher head0.271
Teacher spread0.260 · 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

Citations15
Published2001
Admission routes1
Has abstractyes

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Same venueRapid Communications in Mass SpectrometrySame topicHIV/AIDS drug development and treatmentFrench-language works237,207