Design of a novel polydactyl zinc finger with binding specificity for the proximal promoter region of PLN in the proposed treatment of cardiomyopathy.
Bibliographic record
Abstract
Heart disease is the leading cause of death worldwide. Cardiomyopathy, a form of heart disease, is one of the many areas of clinical interest and is characterized as a disease of the heart myocardium. Phospholamban (PLN) is one of the many proteins linked with this disease. Its primary function in the cell is the inhibition of the sarco(endo)plasmic reticulum Ca2+ ATPase (SERCA2) calcium transporter located in muscle tissue. There is a direct causal link between when PLN is over-expressed, super-inhibitory or non-existent and the development of various forms of cardiomyopathy. In an effort to counteract the development of cardiomyopathy, we have designed a novel zinc finger protein named Dandy, which specifically binds form the –77 to -95 region of the proximal promoter of the PLN gene. This protein is expected to transiently block the binding of the NFY promoter and thus, the initiation of transcription. Blocking initiation of transcription should result in an overall decrease in the concentration of PLN. Dandy is a zinc finger protein made up of two three-fingered peptides. It recognizes a 18 bp sequence with a 1 bp gap in the middle. Tertiary structure predictions of Dandy show that the protein has the intended structure of the design. More clinical research into the specific binding interactions will need to be completed before in vivo function and overall efficacy of Dandy is elucidated.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".