Professor Adrian Mulholland and Dr Christopher Woods from Bristol’s School of Chemistry, together with colleagues in Thailand, used graphics processing units (GPUs) to simulate the molecular processes that take place when these drugs are used to treat the H1N1-2009 strain of influenza – commonly known as ‘swine flu’.
Their results, published today [29 May] in Biochemistry, provide new insight that could lead to the development of the next generation of antiviral treatments for flu.
H1N1-2009 is a new, highly adaptive virus derived from different gene segments of swine, avian, and human influenza. Within a few months of its appearance in early 2009, the H1N1-2009 strain caused the first flu pandemic of the 21st-century.
The antiviral drugs Relenza and Tamiflu, which target the neuraminidase (NA) enzyme, successfully treated the infection but widespread use of these drugs has led to a series of mutations in NA that reduce the drugs’ effectiveness.
Clinical studies indicate that the double mutant of swine flu NA known as IRHY2 reduced the effectiveness of Relenza by 21 times and Tamiflu by 12,374 times – that is, to the point where it has become an ineffective treatment.
To understand why the effectiveness of Relenza and Tamiflu is so seriously reduced by the occurrence of this mutation, the researchers performed long-timescale molecular dynamics (MD) simulations using GPUs.
Professor Mulholland said: “Our simulations showed that IRHY became resistant to Tamiflu due to the loss of key hydrogen bonds between the drug and residues in a part of the NA’s structure known as the ‘150-loop’.
“This allowed NA to change from a closed to an open conformation. Tamiflu binds weakly with the open conformation due to poor electrostatic interactions between the drug and the active site, thus rendering the drug ineffective.”
These findings suggest that drug resistance could be overcome by increasing hydrogen bond interactions between NA inhibitors and residues in the 150-loop, with the aim of maintaining the closed conformation.
The research was supported by the Engineering and Physical Sciences Research Council (EPSRC) through a Leadership Fellowship grant to Professor Mulholland and a software development grant to Professor Mulholland and Dr Woods.
‘Long Time Scale GPU Dynamics Reveal the Mechanism of Drug Resistance of the Dual Mutant I223R/H275Y Neuraminidase from H1N1-2009 Influenza Virus’ by Christopher J. Woods, Maturos Malaisree, Naruwan Pattarapongdilok,Pornthep Sompornpisut, Supot Hannongbua and Adrian J. Mulholland in Biochemistry
Graphics Processing Units (GPUs)
GPUs are providing scientists with remarkable biological insights. They allow new, much longer timescales to be accessed, transforming what is possible in a simulation.
The University of Bristol is part of a new e-Infrastructure South Consortium Centre for Innovation which will shortly open the largest GPU cluster in the UK (and the second largest in Europe), funded by the Engineering and Physical Sciences Research Council (EPSRC).
The other partners in the Centre are University College London, the University of Southampton, the University of Oxford, and the STFC: Rutherford Appleton Laboratory (RAL).