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Record W4405317188 · doi:10.1021/acs.jpcb.4c07120

Interaction between the Polyelectrolytes Unfractionated Heparin and Universal Heparin Reversal Agents

2024· article· en· W4405317188 on OpenAlexafffund
Hemant Kumar Saini, A. Louise Creagh, Chanel C. La, David Lim, Jayachandran N. Kizhakkedathu, Charles A. Haynes, Simcha Srebnik, Suzana K. Straus, Matthias Ballauff

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Interaction Studies and Fluorescence Analysis
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCentre for Blood Research, University of British ColumbiaDeutsche ForschungsgemeinschaftCanada Foundation for Innovation
KeywordsHeparinPolyelectrolyteChemistryPolymerBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The interaction of unfractionated heparin (UFH) with universal heparin reversal agent 7 (UHRA-7) is investigated. UHRA-7 is composed of a hyperbranched polyglycerol core onto which an array of methylated tris(2-aminoethylamine) (Me-TREN) charged groups is grafted, which in turn are shielded with a layer of small chain poly(ethylene glycol) methyl ether (mPEG) chains. This system has previously been shown to be biocompatible and to be effective at neutralizing heparin. The binding constant K b was determined from isothermal titration calorimetry experiments, at temperatures ranging from 278 to 323 K and salt concentrations ranging from 0.06 to 0.20 M NaCl. The data were analyzed in terms of a number of different theoretical models to determine the contribution of counterion release and water release to driving the interaction between UFH and UHRA-7. With the support of NMR and molecular dynamics simulation data, a model of the interaction between UFH and UHRA-7 is proposed. The binding of heparin and universal heparin reversal agent 7 is mainly due to charge–charge interactions between the negatively charged units on UFH with positively charged Me-TREN and mPEG chains.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.060
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

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 head0.010
GPT teacher head0.277
Teacher spread0.267 · 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 teacher head, 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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

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