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Record W2104379527 · doi:10.1246/cl.2011.1420

Glycine Amino Acid Transport inside the Nanopores of Lysozyme Protein Crystal

2011· article· en· W2104379527 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemistry Letters · 2011
Typearticle
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsChemistryLysozymeNanoporeGlycineProtein crystallizationAmino acidCrystal (programming language)CrystallographyNanotechnologyBiochemistryOrganic chemistryCrystallization

Abstract

fetched live from OpenAlex

Abstract Transport of glycine amino acid molecules inside the fully hydrated nanopores of a lysozyme protein crystal was investigated using molecular dynamics (MD) simulations. Mean square displacement (MSD) analysis of glycine molecules suggested that there are different regimes during glycine transport inside the lysozyme nanopores. Glycine molecules undergo a diffusive behavior along the main pore of the protein crystal with the self-diffusion coefficient of about 1.98 × 10−13 m2 s−1, four orders of magnitude less than that in pure water. This observation is in good agreement with available experimental data. Moreover, analyses based on density and radial distribution functions (RDFs) showed that most interactions of glycine molecules with lysozyme take place on LYS96, ARG14, and ASP87 residues. These interactions are the result of hydrogen-bonding interactions between both amino and carboxylic groups of glycine molecules and active sites of protein residues. These interactions change the effective pore size of the lysozyme crystal.

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.

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 categoriesInsufficient payload (model declined to judge)
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 score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.183
Teacher spread0.171 · 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