Novel insights into the structure and transport mechanisms of TAPT1
Bibliographic record
Abstract
Abstract Transmembrane anterior-posterior transformation protein 1 (TAPT1), encoded by the TAPT1 gene expressed in the basal ciliary body, plays a crucial role in cilia formation as well as axial skeletal patterning. Mutations in this gene have been reported to cause several ciliopathies and osteo-related diseases. Unfortunately, the cellular and molecular pathogenic mechanisms are still unclear also due to the lack of X-ray crystallographic structure and further characterization of TAPT1 protein. In this study, we attempted to characterize this protein by in silico techniques. A 3D structure of TAPT1 was generated by the ab initio method, which was further used for the analysis of the substrate-binding site, to determine pore size and for the prediction of the possible substrate(s). Validation by using different software packages revealed a reliable 3D model of TAPT1. Topology modeling revealed that TAPT1 has eight transmembrane helices with a total number of 27 helices in secondary structure. The amino acid residues H235, R323, K443, N446, S447, L450, K453, S454, Y457, K511, N513, D533, K535, D536, and T538 were found to form the pore surface as well as involved in the binding interaction with the substrate(s). This study predicted flavonoids as the possible substrate for TAPT1, which could further be confirmed by ingenuity pathway analysis. Moreover, our analysis indicated that TAPT1 might localize in the mitochondrial membrane in addition to the ciliary basal body. Our study gives novel insights for TAPT1 structure and its function.
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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 | 0.001 |
| Open science | 0.000 | 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".