Molecular dynamics simulations of a protein model in uniform and elongational flows
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We present a molecular dynamics study of the conformational deformation of a minimalist beta-barrel protein model in two different types of hydrodynamic flows: uniform and elongational. We investigate the characteristics of protein stretching, paying special attention to the unfolding intermediate states and their relationship to the protein folding/unfolding problem. In the uniform flow simulations, one end of the modeled protein was tethered to a fixed point in space and the forced unfolding process was observed. The unfolding takes place via a few stages involving one or two intermediate states, depending on which end is tethered. The calculated force-extension curves show plateau regimes and hysteresis as the protein is stretched and refolded, in qualitative agreement with the experimental measurements. The physical behavior observed in our numerical simulations of the forced unfolding in an elongational flow is very different from that in uniform flow. The protein unfolds abruptly from the globular state to a fully stretched state without going through any observable intermediate states. From these observation, we stress that protein unfolding pathways under the influence of an external force are highly dependent on the mechanism of the exerted force.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it