Determination of Noscapine’s Localization and Interaction with the Tubulin‐α/β Heterodimer
Bibliographic record
Abstract
Noscapine, the benzylisoquinoline alkaloid, 5-(4,5-Dimethoxy-3-oxo-1,3-dihydro-isobenzofuran-1-yl)-4-methoxy-6-methyl-5,6,7,8-tetrahydro-[1,3]dioxolo[4,5-g]isoquinolin-6-ium, has been extensively used as a cough-suppressing medication with low toxicity. It has been recently shown to also have anti-cancer activity in mice and humans. In this work, using in silico analyses, the most probable binding site for noscapine is identified to be at the intradimer region of the α and β subunits of the tubulin heterodimer. By utilization of small molecule docking techniques, and an analysis of the thermodynamically favorable binding modes of noscapine in its binding site, the key residues of tubulin monomers interacting with noscapine are determined. Upon noscapine binding, the conformational change in the tubulin heterodimer along with a potential long-range allosteric effect on both the N and E sites is studied by means of molecular dynamics simulations. Noscapine is found to function as a tubulin-stabilizing agent that interacts strongest with the lateral and longitudinal segments of the tubulin dimer, impacting the interaction between monomers in neighboring protofilaments. We infer that this may act as a depolymerization inhibitor of microtubules. As a result of this study, we have designed novel analogues of noscapine with the ultimate goal of finding agents with increased anti-tumor activity and lower inhibitory concentrations than that of noscapine.
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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 | 0.000 |
| 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".