Tuning the Affinity of Anion Binding Sites in Porin Channels with Negatively Charged Residues: Molecular Details for OprP
Bibliographic record
Abstract
The cell envelope of the Gram negative opportunistic pathogen Pseudomonas aeruginosa is poorly permeable to many classes of hydrophilic molecules including antibiotics due to the presence of the narrow and selective porins. Here we focused on one of the narrow-channel porins, that is, OprP, which is responsible for the high-affinity uptake of phosphate ions. Its two central binding sites for phosphate contain a number of positively charged amino acids together with a single negatively charged residue (D94). The presence of this negatively charged residue in a binding site for negatively charged phosphate ions is highly surprising due to the potentially reduced binding affinity. The goal of this study was to better understand the role of D94 in phosphate binding, selectivity, and transport using a combination of mutagenesis, electrophysiology, and free-energy calculations. The presence of a negatively charged residue in the binding site is critical for this specific porin OprP as emphasized by the evolutionary conservation of such negatively charged residue in the binding site of several anion-selective porins. Mutations of D94 in OprP to any positively charged or neutral residue increased the binding affinity of phosphate for OprP. Detailed analysis indicated that this anionic residue in the phosphate binding site of OprP, despite its negative charge, maintained energetically favorable phosphate binding sites in the central region of the channel and at the same time decreased residence time thus preventing excessively strong binding of phosphate that would oppose phosphate flux through the channel. Intriguingly mutations of D94 to positively charged residues, lysine and arginine, resulted in very different binding affinities and free energy profiles, indicating the importance of side chain conformations of these positively charged residues in phosphate binding to OprP.
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 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".