The V119I polymorphism in protein L-isoaspartate O-methyltransferase alters the substrate-binding interface
Bibliographic record
Abstract
Protein L-isoaspartate O-methyltransferase (PIMT) repairs isoaspartate residues in damaged proteins, and it contains a Val-Ile polymorphismin in alpha5, approximately 13 A from its active site. Val119 has lower activity and thermal stability but increased affinity for endogenous substrates. Studies suggest that heterozygosity for Val/Ile favors efficient isoaspartate repair. We have performed multiple molecular dynamics simulations of 119I and 119V PIMT. Both V119 and I119 interact with the same residues throughout all of the simulations. However, the larger Ile altered the orientations of alpha5 and beta5, both of which have co-substrate binding residues on their distal ends. I119 increases the flexibility of several residues, loosening up the S-adenosylmethionine (SAM)-binding site. These subtle changes are propagated towards the isoaspartate-docking site via residues common to both active sites. The increased mobility in 119I PIMT reorients alpha3, resulting in a salt-bridge network at the substrate-binding interface that disrupts several key side-chain interactions in the isoaspartate site. In contrast, 119V PIMT remains quite rigid with little change to the co-substrate binding site, which could hinder SAM's binding and release, accounting for the decreased activity. These results shed light on the molecular basis behind the decreased activity and increased specificity for endogenous substrates of 119V PIMT relative to the 119I variant. 119I PIMT catalyzes the methylation reaction but may have difficulties recognizing and orienting specific substrates due to its distorted substrate-binding site. Heterozygosity for both the Ile and Val alleles may provide the best of both worlds, allowing the fast and specific methylation of damaged proteins.
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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) | 0.000 | 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 | 0.001 | 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".