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Record W2074505824 · doi:10.1021/bi060858m

UV Resonance Raman Investigation of a 3<sub>10</sub>-Helical Peptide Reveals a Rough Energy Landscape

2006· article· en· W2074505824 on OpenAlexfundno aff
Zeeshan Ahmed, Sanford A. Asher

Bibliographic record

VenueBiochemistry · 2006
Typearticle
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsnot available
FundersNational Institute of Biomedical Imaging and BioengineeringAlberta Machine Intelligence Institute
KeywordsRaman spectroscopyResonance (particle physics)Energy landscapePeptideNuclear magnetic resonanceResonance Raman spectroscopyEnergy (signal processing)Materials scienceChemistryBiophysicsPhysicsAtomic physicsBiochemistryOpticsBiology

Abstract

fetched live from OpenAlex

We used UVRRS at 194 and 204 nm excitation to examine the backbone conformation of a 13-residue polypeptide (gp41(659-671)) that has been shown by NMR to predominantly fold into a 3(10)-helix. Examination of the conformation sensitive AmIII(3) region indicates the peptide has significant populations of beta-turn, PPII, 3(10)-helix, and pi-helix-like conformations but little alpha-helix. We estimate that at 1 degree C on average six of the 12 peptide bonds are in folded conformations (predominantly 3(10)- and pi-helix), while the other six are in unfolded (beta-turn/PPII) conformations. The folded and unfolded populations do not change significantly as the temperature is increased from 1 to 60 degrees C, suggesting a unique energy landscape where the folded and unfolded conformations are essentially degenerate in energy and exhibit identical temperature dependences.

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 score0.013
Threshold uncertainty score0.644

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 head0.021
GPT teacher head0.256
Teacher spread0.235 · 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

Citations14
Published2006
Admission routes1
Has abstractyes

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