SDC4: A Target Enabling Package
Bibliographic record
Abstract
Syndecan-4 (SDC4) is a member of a family of syndecan transmembrane receptors, which interact with a variety of extracellular targets. Syndecan signalling leads to endocytosis, endosomal sorting, and exosome export of bound ligands, a process which is dependent on the binding of syndecan-binding protein (SDCBP) to the intracellular tails of syndecans. Cellular trafficking of Aβ is dependent on syndecan/SDCBP activity (2). SDC4 was found within a TMT proteomics network module (Module 42) that contains mostly novel but also well-known AD targets, whose levels are elevated in AD patient brains (1). Inhibition of SDC4 signalling is predicted to reduce the Aβ burden in AD patient brains (3). The aim of this TEP is to generate reagents useful for investigating the role of SDC4 in Alzheimer’s disease, such as a list of validated antibodies, generic knockout/knockdown cell lines and purified protein. Two therapeutic strategies for inhibition of SDC4 will be investigated in this TEP: 1. inhibition of SDC4 activity with an antibody and 2. inhibition of interaction of SDC4 C-terminal tail with SDCBP with small molecules.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.312 | 0.224 |
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".