The C-Terminus and Linker Region of S100B Exert Dual Control on Protein−Protein Interactions with TRTK-12
Bibliographic record
Abstract
S100B, an EF-hand calcium-binding protein composed of two S100beta monomers, undergoes a calcium-dependent conformational change that provides a surface for target interactions. In this study, the calcium-sensitive S100B-binding epitope TRTK-12 has been used to probe the contributions of the linker and C-terminal regions of S100B to protein-protein interactions. These contributions were quantified using C-terminal mutant S100B proteins lacking the C-terminal seven (S100B85stop) or nine (S100B83stop) residues or containing alanine substitutions at Phe87 (F87A), Phe88 (F88A), or both (F8788A). Both F8788A and F88A bound TRTK-12 less tightly (K(d) = 1.85 +/- 0.02 and 0.97 +/- 0.08 microM, respectively) than the wild-type protein (K(d) = 0.27 +/- 0.03 microM, DeltaG = -37.2 kJ/mol), indicating these residues are important for TRTK-12 interaction. The truncated S100B proteins bound TRTK-12 much more weakly (K(d) = 659.7 +/- 119.3 microM, DeltaG = -17.9 kJ/mol), indicating the linker region contributed about 50% to the binding of TRTK-12, while the C-terminus contributed the remaining 50% of the binding energy. Based on mutagenesis and NMR chemical shift studies, a comparison with known S100-target protein complexes showed the S100B-TRTK-12 complex has the strongest resemblance to the S100A10-annexin II interaction.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".