Therapeutic peptides targeting the Ras superfamily
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
Abstract The Ras superfamily of small GTPases are master regulators of numerous essential processes within the cell, so that when they malfunction, cancer and many other diseases can result. For example, activating Ras mutations are present in approximately 20% of human cancers. As such, they are key therapeutic targets, yet more than three decades of intensive research efforts have failed to produce effective Ras inhibitors in the clinic. This is, in part, due to their relatively smooth surfaces which are difficult to target through traditional drug discovery methods using small molecules. Peptides offer a solution to this issue as they occupy larger surface areas on their targets and therefore offer exquisite selectivity and affinity. However, their use in the past has been limited to extracellular targets due to delivery issues. Recent advances in peptide macrocyclisation, modifications and delivery methods have ignited increased interest in the use of these highly effective biologics for intracellular targets. This review will cover progress made in the development of peptides targeting small GTPases to treat a wide range of diseases.
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