Influences of heterogeneous native contact energy and many-body interactions on the prediction of protein folding mechanisms
Bibliographic record
Abstract
is around 0.36. To explore how and to what extent theoretical models can capture experimental phenomena, we here use structure-based explicit chain coarse-grained models to investigate the influence of single-point mutant perturbation on protein folding for single domain two-state proteins. Our results indicate that uniform, additive contact energetic interactions cannot predict experimental Brønsted plots well. Those points deviate largely from the main data sets in Brønsted plots, are mostly hydrophobic, and are located in N- and C-terminal contacting regions. Heterogenous contact energy, which is dependent on sequence separation, can narrow the point dispersion in a Brønsted plot. Moreover, we demonstrate that combining many-body interactions with heterogeneous native contact energy can present mean ϕ-values consistent with experimental findings, with a comparable distributed error. This indicates that for more accurate elucidation of protein folding mechanisms by residue-level structure-based models, these elements should be considered.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".