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Record W2000513450 · doi:10.1021/bi0611560

Abp1p and Fyn SH3 Domains Fold through Similar Low-Populated Intermediate States

2006· article· en· W2000513450 on OpenAlexaff
Dmitry M. Korzhnev, Philipp Neudecker, Arash Zarrine‐Afsar, Alan R. Davidson, Lewis E. Kay

Bibliographic record

VenueBiochemistry · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFold (higher-order function)SH3 domainFYNChemistryCrystallographyComputer scienceProto-oncogene tyrosine-protein kinase SrcBiochemistryPhosphorylationProgramming language

Abstract

fetched live from OpenAlex

Src homology 3 (SH3) domains are small modules that are thought to fold via a two-state mechanism, without the accumulation of significant populations of intermediate states. Relaxation dispersion NMR studies of the folding of G48V and G48M mutants of the Fyn SH3 domain have established that, at least for these modules, folding proceeds through the formation of a transient on-pathway intermediate with an equilibrium population of 1-2% that can be readily detected [Korzhnev, D. M., et al. (2004) Nature 430, 586-590]. To investigate the generality of this result, we present an (15)N relaxation dispersion NMR study of a pair of additional SH3 domains, including a G48V mutant of a stabilized Abp1p SH3 domain that shares 36% sequence identity with the Fyn SH3 module, and a A39V/N53P/V55L mutant Fyn SH3 domain. A transient folding intermediate is detected for both of the proteins studied here, and the dispersion data are well fit to a folding model of the form F <--> I <--> U, where F, I, and U correspond to folded, intermediate, and unfolded states, respectively. The temperature dependencies of the folding/unfolding rate constants were obtained so that the thermodynamic properties of each of F, I, and U could be established. The detection of I states in folding pathways of all SH3 domains examined to date via relaxation dispersion NMR spectroscopy indicates that such intermediates may well be a conserved feature in the folding of such domains in general but that their transient nature along with their low population makes detection difficult using more well-established approaches to the study of folding.

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 categoriesMeta-epidemiology (narrow)
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 score0.006
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)0.0000.000

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 head0.003
GPT teacher head0.212
Teacher spread0.209 · 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.

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

Citations42
Published2006
Admission routes1
Has abstractyes

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