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Record W4407189710 · doi:10.26434/chemrxiv-2025-7fhz2

Human Serum Albumin Loaded with Fatty Acids Reveals Complex Protein-Ligand Thermodynamics and Boleadora-Type Solution Dynamics Leading to Gelation

2025· preprint· en· W4407189710 on OpenAlexaff
Dariush Hinderberger, Jörg Reichenwallner, Sebastian Michler, Christian Schwieger

Bibliographic record

VenueChemRxiv · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Interaction Studies and Fluorescence Analysis
Canadian institutionsUniversity of Toronto
FundersDeutsche Forschungsgemeinschaft
KeywordsElectron paramagnetic resonanceHuman serum albuminDynamic light scatteringDifferential scanning calorimetryChemistrySpectroscopyScatteringResonance (particle physics)Fatty acidCrystallographyAnalytical Chemistry (journal)Physical chemistryChemical physicsMaterials scienceThermodynamicsNuclear magnetic resonanceChromatographyOrganic chemistryNanotechnologyPhysicsOpticsNanoparticle

Abstract

fetched live from OpenAlex

Using an electron paramagnetic resonance (EPR) spectroscopic strategy that has been developed for core-shell polymers, the complexity of the binding of fatty acids to human serum albumin (HSA) is characterized in detail. We unravel the internal dynamics of HSA solutions with fatty acids by applying continuous wave EPR (CW EPR) from which we derive a consistent thermodynamic interpretation about fatty acid interactions with HSA in the investigated temperature range of 5 °C – 97 °C. Additionally, data from CW EPR are corroborated by dynamic light scattering (DLS), differential scanning calorimetry (DSC) and nanoscale distance measurements using double electron-electron resonance (DEER) spectroscopy. We discuss our data in light of decades of biophysical studies on albumin and aim at drawing a complete functional and dynamic picture of HSA “at work”. This picture suggests that HSA is built from modular, rotationally-decoupled domains that resemble an entangled three-piece boleadora in solution.

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 categoriesMeta-epidemiology (narrow)
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 score0.081
Threshold uncertainty score1.000

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 science0.0000.001
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 head0.022
GPT teacher head0.290
Teacher spread0.268 · 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.

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
Published2025
Admission routes1
Has abstractyes

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