Quantitative Predictions of Binding Free Energy Changes in Drug-Resistant Influenza Neuraminidase

Abstract

Quantitatively predicting changes in drug sensitivity associated with residue mutations is a major challenge in structural biology. By expanding the limits of free energy calculations, we successfully identified mutations in influenza neuraminidase (NA) that confer drug resistance to two antiviral drugs, zanamivir and oseltamivir. We augmented molecular dynamics (MD) with Hamiltonian Replica Exchange and calculated binding free energy changes for H274Y, N294S, and Y252H mutants. Based on experimental data, our calculations achieved high accuracy and precision compared with results from established computational methods. Analysis of 15 ms of aggregated MD trajectories provided insights into the molecular mechanisms underlying drug resistance that are at odds with current interpretations of the crystallographic data. Contrary to the notion that resistance is caused by mutant-induced changes in hydrophobicity of the binding pocket, our simulations showed that drug resistance mutations in NA led to subtle rearrangements in the protein structure and its dynamics that together alter the active-site electrostatic environment and modulate inhibitor binding. Importantly, different mutations confer resistance through different conformational changes, suggesting that a generalized mechanism for NA drug resistance is unlikely.

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Document Details

Document Type
Technical Report
Publication Date
Aug 30, 2012
Accession Number
ADA571136

Entities

People

  • Anders Wallqvist
  • Daniel R. Ripoll
  • Ilja V. Khavrutskii
  • Jaques Reifman
  • Jin Liu
  • Robert A. Kuschner
  • Sidhartha Chaudhury

Organizations

  • United States Army Medical Research and Development Command

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Chemistry
  • Complex Systems
  • Computational Biology
  • Computational Science
  • Crystal Structure
  • Department Of Defense
  • Drug Resistance
  • Dynamics
  • Energy
  • Free Energy
  • Hydrophobic Properties
  • Infectious Diseases
  • Inhibitors
  • Molecular Dynamics
  • Precision
  • Simulations

Fields of Study

  • Biology
  • Chemistry

Readers

  • Computational Modeling and Simulation
  • Molecular and Cellular Biochemistry
  • Oncology