Bibliographic record
Abstract
There is a certain function of ion channels in cancer cell progression and proliferation. The mutation of ion channels is proved to have a clear influence on the same. The progress of nanomedicine research needs the proper concept of the exact role of ion channels in cancer and the cause of the disease. In this work, an ion channel protein residing in our stomach with PDB id 3ux4 is analyzed to get an idea about its structure-function relationship. The disordered region and mutation sensitivity of the channel causing cancer are analyzed in different ways. Eight disordered regions of the protein are found in the study. The pocket in the active site is found along with the position of the miss-sense mutation. The maximum mutation region is also found for a sample disordered region. The engineered ion channel is simulated in the environment of water and ions. The potential energy of the water-ion model of the protein calculated by molecular dynamics simulation is 20,412 kcal/mol after simulating the system for 1,00000 steps.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".