New Virtual Reality (VR) Technique to Help Develop Drugs for Treatment of COVID-19
By HospiMedica International staff writers Posted on 13 Nov 2020 |
Image: A cartoon showing iMD-VR being used to model how a viral protein binds to the SARS-CoV-2 main protease (Photo courtesy of University of Bristol)
Scientists have demonstrated a new virtual reality (VR) technique which should help in developing drugs against the SARS-CoV-2 virus and enable researchers to share models and collaborate in new ways.
The innovative tool, created by researchers at the University of Bristol (Bristol, UK) will help scientists around the world identify anti-viral drug leads more rapidly. A SARS-CoV-2 enzyme known as the main protease (Mpro) is a promising target in the search for new anti-viral treatments. Molecules that stop the main protease from working - called enzyme inhibitors - stop the virus reproducing, and so could be effective drugs. Researchers across the world are working to find such molecules. A key predictor of a drug’s effectiveness is how tightly it binds to its target; knowing how a drug fits into the protein helps researchers design changes to its structure to make it bind more tightly.
The Bristol team has developed a virtual framework for interactive 'molecular dynamics' simulations. It is an open source software framework, called Narupa, which uses readily available VR equipment. In their study, the Bristol team created a 3D model structure of the SARS-CoV-2 Mpro and used interactive molecular dynamics simulations in VR (iMD-VR) to ‘step inside’ it and visualize molecules binding to the enzyme, in atomic detail. Results showed that users were able to show how a drug molecule fits within the enzyme.
"We've shown that interactive virtual reality can model how viral proteins and inhibitors bind to the enzyme," said Professor Adrian Mulholland from Bristol’s School of Chemistry and the study's lead author. "Researchers can use this tool to help understand how the enzyme works, and also to see how potential drugs fit into the enzyme. This should help design and test new potential drug leads. We are sharing these models with the whole community."
"There are currently many efforts globally aimed at identifying drug leads for COVID-19. Our iMD-VR tools will be a valuable resource, enabling virtual collaboration for the international drug discovery community, helping to predict how potential drug leads bind to SARS-CoV-2 targets. An exciting aspect is that it also allows researchers to collaborate in new ways: using cloud computing, they can tackle a drug discovery problem together at the same time when in they are in different locations - potentially even in different countries - working simultaneously in the same virtual molecular environment," added Professor Mulholland.
Related Links:
University of Bristol
The innovative tool, created by researchers at the University of Bristol (Bristol, UK) will help scientists around the world identify anti-viral drug leads more rapidly. A SARS-CoV-2 enzyme known as the main protease (Mpro) is a promising target in the search for new anti-viral treatments. Molecules that stop the main protease from working - called enzyme inhibitors - stop the virus reproducing, and so could be effective drugs. Researchers across the world are working to find such molecules. A key predictor of a drug’s effectiveness is how tightly it binds to its target; knowing how a drug fits into the protein helps researchers design changes to its structure to make it bind more tightly.
The Bristol team has developed a virtual framework for interactive 'molecular dynamics' simulations. It is an open source software framework, called Narupa, which uses readily available VR equipment. In their study, the Bristol team created a 3D model structure of the SARS-CoV-2 Mpro and used interactive molecular dynamics simulations in VR (iMD-VR) to ‘step inside’ it and visualize molecules binding to the enzyme, in atomic detail. Results showed that users were able to show how a drug molecule fits within the enzyme.
"We've shown that interactive virtual reality can model how viral proteins and inhibitors bind to the enzyme," said Professor Adrian Mulholland from Bristol’s School of Chemistry and the study's lead author. "Researchers can use this tool to help understand how the enzyme works, and also to see how potential drugs fit into the enzyme. This should help design and test new potential drug leads. We are sharing these models with the whole community."
"There are currently many efforts globally aimed at identifying drug leads for COVID-19. Our iMD-VR tools will be a valuable resource, enabling virtual collaboration for the international drug discovery community, helping to predict how potential drug leads bind to SARS-CoV-2 targets. An exciting aspect is that it also allows researchers to collaborate in new ways: using cloud computing, they can tackle a drug discovery problem together at the same time when in they are in different locations - potentially even in different countries - working simultaneously in the same virtual molecular environment," added Professor Mulholland.
Related Links:
University of Bristol
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