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Record W2769811690 · doi:10.1021/acs.macromol.7b02023

Driven Translocation of Linked Ring Polymers through a Pore

2017· article· en· W2769811690 on OpenAlexafffund
Michele Caraglio, Enzo Orlandini, S G Whittington

Bibliographic record

VenueMacromolecules · 2017
Typearticle
Languageen
FieldEngineering
TopicNanopore and Nanochannel Transport Studies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaLeverhulme Trust
KeywordsChromosomal translocationQuantum entanglementPolymerRing (chemistry)Topology (electrical circuits)Chemical physicsDynamics (music)Link (geometry)PhysicsChemistryGeneMathematicsCombinatoricsQuantum mechanicsNuclear magnetic resonance

Abstract

fetched live from OpenAlex

We have carried out a systematic computational investigation of the driven translocation dynamics of mutually entangled pairs of flexible polymers. Once closed into rings the entanglement is locked into topological links, and our results show that the presence of a topological (i.e., not removable) obstruction of this type at the pore dramatically slows down the translocation dynamics. The stalling time at the pore depends strongly on the complexity of the link type and corresponds to the time needed to squeeze the linked portion inside the pore. A notable feature is that unlike the translocation of knotted polymers, the passage of the portion of a two-component link that contains the essential crossings typically occurs when the translocation process is half completed. We claim that this difference can be exploited to distinguish knots from links by translocation experiments. These features should help to advance the interpretation and design of future translocation experiments aimed at probing the presence and amount of mutual entanglement in concatenated ring polymers.

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 score0.063
Threshold uncertainty score0.516

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 head0.017
GPT teacher head0.239
Teacher spread0.222 · 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

Citations20
Published2017
Admission routes2
Has abstractyes

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