Substrate specificity of pyrimidine nucleoside phosphorylases of NP-II family probed by X-ray crystallography and molecular modeling
Bibliographic record
Abstract
Pyrimidine nucleoside phosphorylases, which are widely used in the biotechnological production of nucleosides, have different substrate specificity for pyrimidine nucleosides. An interesting feature of these enzymes is that the three-dimensional structure of thymidine-specific nucleoside phosphorylase is similar to the structure of nonspecific pyrimidine nucleoside phosphorylase. The three-dimensional structures of thymidine phosphorylase from Salmonella typhimurium and nonspecific pyrimidine nucleoside phosphorylase from Bacillus subtilis in complexes with a sulfate anion were determined for the first time by X-ray crystallography. An analysis of the structural differences between these enzymes demonstrated that Lys108, which is involved in the phosphate binding in pyrimidine nucleoside phosphorylase, corresponds to Met111 in thymidine phosphorylases. This difference results in a decrease in the charge on one of the hydroxyl oxygens of the phosphate anion in thymidine phosphorylase and facilitates the catalysis through S N 2 nucleophilic substitution. Based on the results of X-ray crystallography, the virtual screening was performed for identifying a potent inhibitor (anticancer agent) of nonspecific pyrimidine nucleoside phosphorylase, which does not bind to thymidine phosphorylase. The molecular dynamics simulation revealed the stable binding of the discovered compound—2-pyrimidin-2-yl-1H-imidazole-4-carboxylic acid—to the active site of pyrimidine nucleoside phosphorylase.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".