Single-Amino Acid Substitutions Alter the Specificity and Affinity of PDZ Domains for Their Ligands
Bibliographic record
Abstract
PDZ domains are modular protein-protein interaction domains that bind to specific C-terminal sequences of membrane proteins and/or to other PDZ domains. Certain PDZ domains in PSD-95 and syntrophins interact with C-terminal peptide ligands and heterodimerize with the extended nNOS PDZ domain. The capacity to interact with nNOS correlates with the presence of a Lys residue in the carboxylate- binding loop of these PDZ domains. Here, we report that substitution of an Arg for Lys-165 in PSD-95 PDZ2 disrupted its interaction with nNOS, but not with the C terminus of the Shaker-type K(+) channel Kv1.4. The same mutation affected nNOS binding to alpha1- and beta1-syntrophin PDZ domains to a lesser extent, due in part to the stabilizing effect of tertiary interactions with the canonical nNOS PDZ domain. PDZ domains with an Arg in the carboxylate-binding loop do not bind nNOS; however, substitution with Lys or Ala was able to confer nNOS binding. Our results indicate that the carboxylate-binding loop Lys or Arg is a critical determinant of nNOS binding and that the identity of this residue can profoundly alter one mode of PDZ recognition without affecting another. We also analyzed the effects of mutating Asp-143, a residue in the alphaB helix of alpha1-syntrophin that forms a tertiary contact with the nNOS PDZ domain. This residue is important for both nNOS and C-terminal peptide binding and confers a preference for peptides with a positively charged residue at position -4. On this basis, we have identified the C terminus of the Kir2.1 channel as a possible binding partner for syntrophin PDZ domains. Together, our results demonstrate that single-amino acid substitutions alter the specificity and affinity of PDZ domains for their ligands.
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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) | 0.001 | 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 | 0.001 |
| 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".