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Record W1973148313 · doi:10.1002/qua.22272

Interplaying roles of native topology and chain length in marginally cooperative and noncooperative folding of small protein fragments

2009· article· en· W1973148313 on OpenAlexafffund
Artem Badasyan, Zhirong Liu, Hue Sun Chan

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsCooperativityChemistryCooperative bindingFolding (DSP implementation)Contact orderProtein foldingCrystallographyTopology (electrical circuits)BiophysicsNative stateBinding siteBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Coarse‐grained chain simulations were used to study fragments of two homologous proteins of the peripheral subunit‐binding domain (PSBD) family, Bacillus stearothermophilus PSBD (E3BD) and Escherichia coli 2‐oxo‐glutarate dehydrogenase PSBD (BBL). To ascertain a robust rank order of folding cooperativity, native‐centric intraprotein interactions were modeled by (i) a common Gō‐like potential, and (ii) native‐centric potentials with desolvation barriers or (iii) many‐body terms. Homologous proteins can possess substantially different folding cooperativity. Consistent with experiment, our calculations indicated that E3BD fragments fold more cooperatively than BBL fragments of approximately the same chain length. For a given fragment, native contacts deduced from Protein Data Bank structures can vary significantly depending on the number of residues that the structure encompasses in addition to those of the fragment itself, resulting in variation in model folding cooperativity predicted using different native contact sets for the same fragment. This observation underscores that folding cooperativity of these fragments can be extremely sensitive to change in chain length. Thus, a ∼40‐residue protein fragment's folding cooperativity, or lack thereof, does not necessarily imply essentially identical behaviors for super‐ or sub‐fragments with only several residues more, or less, than the given fragment. Ramifications for experimental investigations of downhill folding are discussed. © 2009 Wiley Periodicals, Inc. Int J Quantum Chem, 2009

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 score0.004
Threshold uncertainty score0.429

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 head0.007
GPT teacher head0.263
Teacher spread0.257 · 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

Citations8
Published2009
Admission routes2
Has abstractyes

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