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Structural and Dynamics Studies of Lipids by Solid-State NMR

2009· reference-entry· en· W1526659223 on OpenAlexaff
Michà ̈le Auger

Bibliographic record

VenueEncyclopedia of Magnetic Resonance · 2009
Typereference-entry
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSolid-state nuclear magnetic resonanceMagic angle spinningMembraneLipid bilayerCreaturesChemistryMolecular dynamicsNMR spectra databaseChemical physicsDeuterium NMRMagic angleDynamics (music)Nuclear magnetic resonance spectroscopyMaterials scienceSpectral lineComputational chemistryNuclear magnetic resonanceBiochemistryPhysicsOrganic chemistryBiology

Abstract

fetched live from OpenAlex

All living creatures are made of cells. One cellular component, the membrane, plays a crucial role in almost all cellular activities. Biomembranes are made of a bilayer of lipids, in which are associated intrinsic and extrinsic proteins. Solid-state NMR has proven to be a very valuable technique to investigate the structure and dynamics of lipid membranes and the technique has developed along two main directions. The first class involves the study of powder spectra. In particular, deuterium and phosphorus NMR methods have been widely used in the last three decades for the study of the structure and dynamics of biological membranes. The second class of techniques involves the restoration of high resolution spectra using the magic-angle spinning technique or samples oriented in the magnetic field. This article presents an overview of the solid-state NMR techniques commonly used to investigate the structure and dynamics of lipid bilayers.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.289
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2009
Admission routes1
Has abstractyes

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