Molecular simulations of paclitaxel binding to mutant β-tubulin: insights into chemotherapy resistance

Paola Vottero1, Martina Centroni2, Ebenezea Gitari1

  • 1Department of Biomedical Engineering, University of Alberta, Edmonton, T6G 1H9, Canada.

Insights

Clinically relevant mutations in beta-tubulin (β-tubulin) can reduce paclitaxel chemotherapy effectiveness. This study used computational methods to reveal how these mutations alter paclitaxel binding at a molecular level.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Pharmacology

Background:

  • Paclitaxel is a vital chemotherapy drug that stabilizes microtubules.
  • Drug resistance, often due to mutations in β-tubulin, limits paclitaxel's effectiveness.
  • The precise molecular mechanisms by which β-tubulin mutations affect paclitaxel binding are not fully understood.

Purpose of the Study:

  • To investigate the molecular impact of clinically relevant β-tubulin mutations on paclitaxel binding affinity.
  • To quantify changes in binding free energy and local structural dynamics caused by these mutations.
  • To inform the development of next-generation taxane therapies that overcome resistance.

Main Methods:

  • Molecular docking simulations were performed to predict paclitaxel binding poses.
  • Molecular dynamics (MD) simulations were used to analyze the dynamic behavior of mutated β-tubulin.
  • Molecular Mechanics with Generalized Born Surface Area (MM/GBSA) calculations quantified binding free energies.
  • Root mean square fluctuation (RMSF) analysis assessed local structural flexibility.

Main Results:

  • MM/GBSA calculations revealed significant changes in paclitaxel binding free energy due to mutations, particularly affecting key regions like the M loop and H5-H6 helices.
  • RMSF analysis indicated altered flexibility in mutation-affected regions, suggesting disrupted stabilization mechanisms.
  • Simulations incorporating lateral protofilament contacts provided deeper insights than single-dimer models.

Conclusions:

  • Clinically relevant β-tubulin mutations significantly alter paclitaxel binding affinity and dynamics.
  • Structure-based computational modeling is crucial for understanding drug resistance mechanisms.
  • These findings can guide the design of paclitaxel derivatives effective against resistant cancer strains.

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