ArticleJournal of molecular modeling2026
Quantum mechanical and molecular dynamics insights into the binding mechanism of tubulin-stabilizing agents at the taxol site of β-tubulin.
Article in Journal of molecular modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextMicrotubules, composed of α- and β-tubulin heterodimers, play a crucial role in cell division and are well-established targets for anticancer drugs known as tubulin-binding agents (TBAs). Targeting the Taxol-binding site of β-tubulin has been particularly effective in disrupting microtubule dynamics and inhibiting cancer cell proliferation. In this study, selected TBAs were evaluated to identify potential candidates capable of stabilizing microtubules through interactions at this binding site.
methodsAn integrated computational strategy combining molecular docking, density functional theory (DFT), and molecular dynamics (MD) simulations was employed to investigate the binding characteristics of TBAs. Initially, 97 compounds were screened using a stringent molecular docking approach. Based on binding affinity and interaction analysis, four compounds (TBA79, TBA80, TBA81, and TBA41) were identified as promising candidates. Interaction profiling assessed hydrogen bonding and hydrophobic interactions with key residues. MD simulations (500 ns each) were conducted to evaluate the stability of the protein-ligand complexes. Furthermore, MMGBSA binding free energy calculations and DFT analyses were performed to examine binding stability, reactivity, and charge transfer properties of the selected compounds.
Indexed as
Identifiers
42842050What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.