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Record W2059750347 · doi:10.1049/iet-nbt.2013.0073

Molecular dynamic simulation of Ca <sup>2+</sup> ‐ATPase interacting with lipid bilayer membrane

2014· article· en· W2059750347 on OpenAlexaff
Samaneh Davoudi, Sepideh Amjad‐Iranagh, Mahdi Zaeifi Yamchi

Bibliographic record

VenueIET Nanobiotechnology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsLipid bilayerMolecular dynamicsBiophysicsATPaseMembraneBilayerChemistryNanotechnologyPhysicsMaterials scienceBiologyBiochemistryEnzymeComputational chemistry

Abstract

fetched live from OpenAlex

In biomedical and drug delivery treatments, protein Ca2+-ATPase in the lipid bilayer (plasma) membrane plays a key role by reducing multidrug resistance of the cancerous cells. The lipid bilayer membrane and the protein Ca2+-ATPase were simulated by utilising the Gromacs software and by applying the all-atom/united atom and coarse-grained models. The initial structure of Ca2+-ATPase was derived from X-ray diffraction and electron microscopy patterns and was placed in a simulated bilayer membrane of dipalmitoylphosphatidylcholine. The conformational changes were investigated by evaluating the root mean square deviation, root mean square fluctuation, order parameter, diffusion coefficients, partial density, thickness and area per lipid.

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 score0.024
Threshold uncertainty score0.893

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 integrity0.0010.000
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 head0.004
GPT teacher head0.235
Teacher spread0.231 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

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