Technical Name |
AI動態老藥新用平台及COVID-19應用 |
Project Operator |
National Chiao Tung University |
Project Host |
楊進木 |
Summary |
We propose an AI dynamics drug repurposing platform applicate on COVID-19. This platform analyzed a large number of structures of SARS-CoV, MERS,cross-species coronavirus 3CL protease-ligand complexes to construct uncovering six flexible active site conformationspharmacophore clusters for SARS-CoV-2 3CL protease screening all FDA drugsfound four inhibitors within three months. Among them, JM206 had even demonstrated ten times better efficacy than Remdesivir in-vitro assayalso show the effect on the in-vivo hamster model to alleviate the symptoms caused by COVID-19. |
Scientific Breakthrough |
This AI dynamics drug repurposing platform analyzes hundreds of 3CL protease-ligand complexesdiscovers uncovering six flexible active site conformations. We derived the pharmacophore clusters based on the physicalchemical properties of the compound-protein interactionsthe similarity of the ligand moiety structuresthen group the similar protein-compound interactions, which is the so-called technique of clustering. This methodology identified several inhibitorseven one more efficacious than Remdesivir. The platform becomes an important cornerstone in the future. |
Industrial Applicability |
The application of AI dynamics drug repurposing platform not only for an urgent global pandemic such as COVID-19, but also for important diseases such as cancers. This in-housed core technology can more closely explore the dynamics state of proteins structuresfind potential old drugs/inhibitors. The platform has the great potential to aid the developments of relevant pharmaceutical companies, scientific research institutions,the biotechnology industry to greatly reduce the timecost of drug discovery. |
Matching Needs |
天使投資人、策略合作夥伴 |
Keyword |
drug repurposing Big data COVID-19 SARS-CoV-2 AI dynamics drug repurposing platform 3CL protease protease pharmacophore clusters Precision Health Precision medicine |