Impact of BRCA1 BRCT Domain Missense Substitutions on Phosphopeptide Recognition
Bibliographic record
Abstract
The BRCA1 BRCT domain binds pSer-x-x-Phe motifs in partner proteins to regulate the cellular response to DNA damage. Approximately 120 distinct missense variants have been identified in the BRCA1 BRCT through breast cancer screening, and several of these have been linked to an increased cancer risk. Here we probe the structures and peptide-binding activities of variants that affect the BRCA1 BRCT phosphopeptide-binding groove. The results obtained from the G1656D and T1700A variants illustrate the role of Ser1655 in pSer recognition. Mutations at Arg1699 (R1699W and R1699Q) significantly reduce peptide binding through loss of contacts to the main chain of the Phe(+3) residue and, in the case of R1699W, to a destabilization of the BRCT fold. The R1835P and E1836K variants do not dramatically reduce peptide binding, in spite of the fact that these mutations significantly alter the structure of the walls of the Phe(+3) pocket.
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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".