Gas Phase Protein Folding Triggered by Proton Stripping Generates Inside-Out Structures: A Molecular Dynamics Simulation Study
Bibliographic record
Abstract
The properties of electrosprayed protein ions continue to be enigmatic, owing to the absence of high-resolution structure determination methods in the gas phase. There is considerable evidence that under properly optimized conditions these ions preserve solution-like conformations and interactions. However, it is unlikely that these solution-like conformers represent the “intrinsic” structural preferences of gaseous proteins. In an effort to uncover what such intrinsically preferred conformers might look like, we performed molecular dynamics (MD) simulations of gaseous ubiquitin. Our work was inspired by recent gas phase experiments, where highly extended 13+ ubiquitin ions were transformed to compact 3+ species by proton stripping (Laszlo, K. J.; Munger, E. B.; Bush, M. F. J. Am. Chem. Soc. 2016, 138, 9581–9588). Our simulations covered several microseconds and used a mobile-proton algorithm to account for the fact that a H + in gaseous proteins can migrate between different titratable sites. Proton stripping caused folding of ubiquitin into heterogeneous “inside-out” structures. The hydrophilic core of these conformers was stabilized by charge–charge and polar interactions, while hydrophobic residues were located on the protein surface. Collision cross sections of these MD structures were in good agreement with experimental results. The inside-out structures generated during gas phase folding are in striking contrast to the solution behavior which is dominated by the hydrophobic effect, i.e., the tendency to bury hydrophobic side chains in the core (instead of exposing them to the surface). We do not dispute that native-like proteins can be transferred into the gas phase as kinetically trapped species. However, those metastable conformers do not represent the intrinsic structural preferences of gaseous proteins. Our work for the first time provides detailed insights into the properties of intrinsically preferred gas phase conformers, and we unequivocally find them to have inside-out architectures.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".