3.8 Proceedings Paper

How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets

出版社

IEEE
DOI: 10.1109/BigData52589.2021.9671323

关键词

SARS-CoV-2; Spike protein; MD simulation; Deep learning

资金

  1. U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research [DE-AC05-00OR22725]
  2. Laboratory Directed Research and Development Program of Oak Ridge National Laboratory
  3. Office of Science of the U.S. Department of Energy [DE-AC05-00OR22725]
  4. Exascale Computing Project (ECP) of the U.S. Department of Energy Office of Science [17-SC-20-SC]
  5. Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) program by the U.S. Department of Energy (DOE)
  6. National Cancer Institute (NCI) of the National Institutes of Health
  7. U.S. Department of Energy by Argonne National Laboratory [DE-AC02-06-CH11357]
  8. U.S. Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
  9. U.S. Department of Energy by Los Alamos National Laboratory [DE-AC5206NA25396]
  10. U.S. Department of Energy by Oak Ridge National Laboratory [DE-AC05-00OR22725]
  11. U.S. Department of Energy by Frederick National Laboratory for Cancer Research [HHSN261200800001E]
  12. U.S. Department of Energy, Office of Science, through the Office of Advanced Scientific Computing Research (ASCR) [DE-AC05-00OR22725]
  13. Exascale Computing Project (ECP) of the the National Nuclear Security Administration [17-SC-20-SC]

向作者/读者索取更多资源

The study uses artificial intelligence and molecular dynamics simulation to analyze the structure of the S protein of the novel coronavirus. The research reveals the flexibility of the S protein structure and identifies key regions that may be potential targets for therapeutic development. Additionally, similarities in immunodominant sites between different coronaviruses are highlighted, offering insight for effective treatment strategies for COVID-19.
The emergence and rapid worldwide spread of the novel coronavirus disease, COVID-19, has prompted concerted efforts to find successful treatments. The causative virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), uses its spike (S) protein to gain entry into host cells. Therefore, the S protein presents a viable target to develop a directed therapy. Here, we deployed an integrated artificial intelligence with allatom molecular dynamics simulation approach to provide new details of the S protein structure. Based on a comprehensive structural analysis of S proteins from SARS-CoV-2 and previous human coronaviruses, we found that the protomer state of S proteins is structurally flexible. Without the presence of a stabilizing beta sheet from another protomer chain, two regions in the S2 domain and the hinge connecting the S1 and S2 subunits lose their secondary structures. Interestingly, the region in the S2 domain was previously identified as an immunodominant site in the SARS-CoV-1 S protein. We anticipate that the molecular details elucidated here will assist in effective therapeutic development for COVID-19.

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