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Record W2515451538 · doi:10.1002/elps.201600253

Behavior of α‐synuclein–drug complexes during nanopore analysis with a superimposed AC field

2016· article· en· W2515451538 on OpenAlexaff
Elisabet Jakova, Jeremy S. Lee

Bibliographic record

VenueElectrophoresis · 2016
Typearticle
Languageen
FieldEngineering
TopicNanopore and Nanochannel Transport Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNanoporeChemistryBiophysicsDipoleNanotechnologyMaterials scienceBiology

Abstract

fetched live from OpenAlex

Seven α-synuclein-drug complexes have been studied by nanopore analysis in which an AC field of 200 mV from 10 MHz to 1 GHz has been superimposed on the standard electrophoretic DC voltage of 100 mV. α-Synuclein has a large dipole moment and in the absence of drug the AC field causes the molecule to oscillate at the entrance to the pore and reduces its ability to translocate through the pore. Thus more bumping events are observed in the current blockade histograms. The binding of drugs to α-synuclein has a large effect on the event profiles depending on the region of α-synuclein to which the drugs bind. Caffeine and (-)-nicotine bind both the N- and C-termini causing the protein to adopt a loop conformation that allows translocation even in the AC field. Metformin, which binds only to the C-terminus also facilitates translocation. For these drugs there is good evidence that the AC field is causing the complex to dissociate as it enters the pore that has not been observed previously. In contrast, complexes with (+)-amphetamine that has an N-terminal binding site and cocaine that binds to the central region of the protein, show only small changes in the event profiles in an AC field.

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 score0.031
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.003
GPT teacher head0.178
Teacher spread0.174 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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