Characterization of the structure, dynamics and allosteric pathways of human NPP1 in its free form and substrate-bound complex from molecular modeling
Bibliographic record
Abstract
The ectonucleotide phosphodiesterase/pyrophosphatase-1 (NPP1) is a type II transmembrane glycoprotein that regulates extracellular inorganic purine nucleotide and inorganic diphosphate levels through the hydrolysis of ATP into AMP and diphosphate. NPP1 is a promising drug target as it plays a role in several disorders. In the present work, we report the 3D structure modeling and extensive molecular dynamics simulations of NPP1-h, both in its free and ATP-bound forms. We identified the key residues involved in the binding of the ATP and the binding modes. The simulations suggest that NPP1-h is a rigid enzyme except for specific residues or segments, with the most mobile residues located in the unstructure "lasso loop" (LSO) domain. The binding of ATP significantly affected the dynamics of NPP1-h, with a rigidification of the phosphodiesterase (PDE) catalytic domain and an increase in mobility for the residues of the Nuclease-like (NUC) and the LSO domains. A dynamical network analysis identified that the most prevalent edges of the networks were located between the PDE and the NUC domains. In presence of ATP the networks became scattered through the PDE domain while the networks converged into a specific path that stretched from the PDE-NUC interdomain up to the middle of the LSO loop throughout the NUC domain. We suggest that these sections of the dynamical network may host potential allosteric inhibition sites. These results provide an improved understanding of the structure and dynamics of NPP1-h and will contribute to the rational design of NPP1-h inhibitors.
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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".