Structural Basis of Prion Protein Conformation Conversion Inhibition
Bibliographic record
Abstract
Prion diseases are fatal neurodegenerative diseases that affect humans and other animals. A conformational transition of the cellular prion protein, PrPC, into an infectious isoform, PrPSc, is the central event leading to aggregation and the fatal progression of these diseases. One of the therapeutic approaches for the prion diseases is the use of pharmacological chaperones. These molecules can stabilize the prion protein in its native conformation and can arrest the disease progression. Tricyclic phenothiazine compounds exhibit anti-prion activity; however, the underlying molecular mechanism of PrPSc inhibition remains elusive. We have determined the molecular structures of promazine and chlorpromazine bound to the mouse prion protein (moPrP) by forming crystals of the ternary complexes of the POM1 Fab:moPrP:promazine and the POM1 Fab:moPrP:chlorpromazine. The structures were solved by X-ray crystallography to resolutions of 1.9 Å and 2.2 Å, respectively. The small molecules are bound in a novel binding pocket formed at the intersection of the structured and the unstructured domains of the moPrP. Promazine binding induces a structural rearrangement of a portion of the unstructured region proximal to the first β-strand, β1, through the formation of a "hydrophobic anchor". We demonstrate that these molecules, promazine in particular, allosterically stabilize the misfolding initiator-motifs such as C-terminus of helix, α2, the α2-α3 loop as well as the polymorphic β2-α2 loop. Hence, the stabilization effects of the phenothiazine derivatives on initiator-motifs, induce a PrPC isoform that potentially resists oligomerization. Subtle structural differences are observed in the so-called initiator-motifs of the prion proteins that belong to many different mammalian species, and these diversities may possibly explain the generation of wide variety of scrapie strains in prion diseases.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".