ArticlePLoS computational biology2026
Integrative AI-assisted modeling suggests CPPF binding at a composite α/β-tubulin interface pocket dominated by β-tubulin contacts.
Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Microtubules are dynamic cytoskeletal polymers assembled from α/β-tubulin heterodimers. Microtubules are validated targets for novel therapeutic drugs, yet therapeutic efficacy targeting them is often compromised by multidrug resistance (MDR). 5-(3-chlorophenyl)-N-(3-pyridinyl)-2-furamide (CPPF) is a novel microtubule-targeting anticancer agent which was found to disrupt microtubule growth in cells and inhibit tubulin polymerization in vitro. CPPF could suppress the growth of multidrug-resistant cell lines and demonstrate anti-tumor efficacy in animal models. However, the fundamental mechanism of how CPPF disrupts microtubule assembly remains unclear. To investigate this, we performed structure prediction using Protenix, RoseTTAFold All-Atom (RFAA) and Umol, as well as molecular dynamics (MD) simulations, using the human α/β-tubulin heterodimer (PDB ID: 5IJ0) for analyzing the interaction between CPPF and tubulin. Our results showed that CPPF binds at the α/β interface with dominant contributions from β-tubulin residues, particularly VAL236 and LEU253. In isolated-monomer comparisons, β-tubulin exhibited more favorable binding energetics and deeper, broader free-energy minima than α-tubulin. Supplementary simulations on the alternative β-tubulin conformational state (PDB: 6E7B; straight microtubule-lattice) indicated that CPPF binding is preserved across the two major β-tubulin conformations, with comparable MM-PBSA binding free energies. Taken together, these findings establish a plausible binding mode for CPPF at the α/β-tubulin interface, providing a structural hypothesis for understanding its anticancer potential against multidrug-resistant cancers. Experimental validation through binding assays or crystallography is warranted to further substantiate these computational insights.
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