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Record W1990936326 · doi:10.1002/qua.10095

Metastability of protein native folds with respect to global variations in primary sequence

2002· article· en· W1990936326 on OpenAlexaff
Gustavo A. Arteca, Kalyani Veluri

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsLaurentian University
Fundersnot available
KeywordsMetastabilityProtein foldingNative stateChemical physicsChemistryFolding (DSP implementation)Sequence (biology)CrystallographyContact orderMolecular dynamicsFold (higher-order function)Translation (biology)Protein dynamicsComputational chemistryComputer scienceMessenger RNA

Abstract

fetched live from OpenAlex

Abstract In the absence of water, a range of rapid large‐scale conformational rearrangements is accessible in principle to a protein. Despite this, experiments and computer simulations suggest that native states need not be totally unstable once a protein is dehydrated. Here, we explore further the possibility that native folds act as conformational attractors in vacuo, despite variations on their primary structure. To this end, we carry molecular dynamics simulations on “protein chimeras,” where a protein sequence is threaded onto the backbone corresponding to the native state of a different protein with the same chain length. The simulations mimic the conditions of unrestricted rotation and translation found in gas‐phase or in vacuo experiments. We find that the chimeras show a range of motions commensurable to that of the original native state. In no case do we observe a complete change in folding features during early relaxation; in most cases, the original fold is actually metastable. The results suggest that the initial dynamical behavior of a protein may be dictated by the large‐scale backbone folding features, and not by details of the primary structure. © 2002 Wiley Periodicals, Inc. Int J Quantum Chem 88: 220–225, 2002

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 score0.023
Threshold uncertainty score0.365

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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

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