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Record W2022523103 · doi:10.1163/1568562042459760

Polaron transport mechanism in DNA

2004· article· en· W2022523103 on OpenAlexaff
Mahi R. Singh

Bibliographic record

VenueJournal of Biomaterials Science Polymer Edition · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsWestern University
Fundersnot available
KeywordsPolaronPhononCondensed matter physicsHelix (gastropod)Thermal conductionElectric fieldConductivityCharge carrierPercolation theoryPhysicsChemical physicsChemistryMaterials scienceQuantum mechanicsElectron

Abstract

fetched live from OpenAlex

A theory of polaron-hopping transport is studied in DNA in the presence of an electric field. The helix structure of DNA consists of a molecule of phosphoric acid, a molecule of sugar and a molecule of a nitrogen compound called a nitrogen base. The charge carriers are localized near the bases. Phonons are created due to internal motions such as changes in winding or the inclination angle of the helix. It is considered that, due to the interaction between a charge carrier and a phonon, a localized polaron is formed in the helix near a base. These internal motions also promote hopping of the localized polarons. By interacting with a phonon, the polaron undergoes a hopping process in the helix structure. We consider that the localized polaron sites are distributed randomly in both space and energy coordinates. A polaron hops from one site to another site in this space. Conduction is a result of many series of hops through this hopping space. This approach differs from the percolation method and others in the calculation of the conductivity. The present theory is used to explain the electric-field- and temperature-dependent conductivity experiments of DNA. A good agreement is found between theory and experiments.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.233
Teacher spread0.228 · 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 designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

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