Abp1p and Fyn SH3 Domains Fold through Similar Low-Populated Intermediate States
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".