Researchers have made a major breakthrough in tackling infections caused by a major group of viruses including the common cold and polio.
The team has cracked a code hidden in the sequence of the ribonucleic acid (RNA) that makes up this type of viral genome. But a paper published by a group from the University of Leeds and University of York has shown that jamming the code can disrupt virus assembly, which can stop it functioning and prevent disease. Professor Peter Stockley, Professor of Biological Chemistry in the University of Leeds’ Faculty of Biological Sciences, who led the study, said: “If you think of this as molecular warfare, these are the encrypted signals that allow a virus to deploy itself effectively.
“Now, for this whole class of viruses, we have found the ‘Enigma machine’ – the coding system that was hiding these signals from us. We have shown that not only can we read these messages but we can jam them and stop the virus’ deployment.” Single-stranded RNA viruses are the simplest type of virus and were probably one of the earliest to evolve. However, they are still among the most potent and damaging of infectious pathogens. Rhinovirus, which causes the common cold, accounts for more infections every year than all other infectious agents put together (about 1 billion cases), while emergent infections such as chikungunya and tick-borne encephalitis are from the same ancient family.
Other single-stranded RNA viruses include the hepatitis C virus, HIV and the winter vomiting bug norovirus. Dr Roman Tuma, Reader in Biophysics at the University of Leeds, said: “We have understood for decades that the RNA carries the genetic messages that create viral proteins, but we didn’t know that, hidden within the stream of letters we use to denote the genetic information, is a second code governing virus assembly. “It is like finding a secret message within an ordinary news report and then being able to crack the whole coding system behind it. “This paper goes further: it also demonstrates that we could design molecules to interfere with the code, making it uninterpretable and effectively stopping the virus in its tracks.”
Professor Reidun Twarock, of the University of York’s Department of Mathematics, said: “The Enigma machine metaphor is apt. The first observations pointed to the existence of some sort of a coding system, so we set about deciphering the cryptic patterns underpinning it using novel, purpose designed computational approaches. “We found multiple dispersed patterns working together in an incredibly intricate mechanism and we were eventually able to unpick those messages. We have now proved that those computer models work in real viral messages.” The next step will be to widen the study into animal viruses. The researchers believe that their combination of single-molecule detection capabilities and their computational models offers a novel route for drug discovery.
The research was funded by the Biotechnology and Biological Sciences Research Council (BBSRC) and the Engineering and Physical Sciences Research Council (EPSRC). Professor Twarock’s Royal Society Leverhulme Trust Senior Research Fellowship and Dr Dykeman’s Leverhulme Trust Early Career Fellowship also supported the work.