Filter News
Area of Research
News Type
News Topics
- (-) Biomedical (2)
- 3-D Printing/Advanced Manufacturing (24)
- Advanced Reactors (1)
- Artificial Intelligence (4)
- Big Data (3)
- Bioenergy (3)
- Biology (7)
- Biotechnology (1)
- Buildings (11)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (4)
- Composites (5)
- Computer Science (10)
- Coronavirus (4)
- Critical Materials (3)
- Cybersecurity (3)
- Decarbonization (5)
- Energy Storage (20)
- Environment (13)
- Fusion (1)
- Grid (8)
- High-Performance Computing (5)
- Materials (19)
- Materials Science (11)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (4)
- National Security (4)
- Net Zero (1)
- Neutron Science (14)
- Nuclear Energy (1)
- Physics (1)
- Polymers (3)
- Quantum Computing (1)
- Quantum Science (3)
- Security (2)
- Space Exploration (2)
- Statistics (1)
- Summit (1)
- Sustainable Energy (24)
- Transportation (16)
Media Contacts
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
Scientists have found new, unexpected behaviors when SARS-CoV-2 – the virus that causes COVID-19 – encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.