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Record W2165203428 · doi:10.1002/bip.20339

Isotope‐labeled vibrational circular dichroism studies of calmodulin and its interactions with ligands

2005· article· en· W2165203428 on OpenAlexaff
Aleksandra A. Pandyra, Aaron P. Yamniuk, Valery Andrushchenko, H. Wieser, Hans J. Vogel

Bibliographic record

VenueBiopolymers · 2005
Typearticle
Languageen
FieldChemistry
TopicMolecular spectroscopy and chirality
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChemistryVibrational circular dichroismCircular dichroismCalmodulinSpectroscopyIsotopeForce spectroscopyCrystallographyInfrared spectroscopyLigand (biochemistry)MoleculeAnalytical Chemistry (journal)CalciumChromatographyOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Abstract In this work we have studied ligand‐induced secondary structure changes in the small calcium regulatory protein calmodulin (CaM) using vibrational circular dichroism (VCD) spectroscopy. We find that, due to its chiral sensitivity, VCD spectroscopy has increased ability over IR spectroscopy to detect changes in the structure and flexibility of secondary structure elements upon ligand binding. Moreover, we demonstrate that the uniform isotope labeling of CaM with 13 C shifts its amide I′ VCD band by about ∼43 cm –1 to lower wavenumbers, which opens up a spectral window to simultaneously visualize a bound target protein. Therefore this study also provides the first example of how isotope labeling enables protein–protein interactions to be studied by VCD with good separation of the signals for both isotope‐labeled and unlabeled proteins. © 2005 Wiley Periodicals, Inc. Biopolymers 79: 231–237, 2005 This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com

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 score0.007
Threshold uncertainty score0.409

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 head0.018
GPT teacher head0.288
Teacher spread0.271 · 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

Citations10
Published2005
Admission routes1
Has abstractyes

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