Computational design of peptides to target NaV1.7 channel with high potency and selectivity for the treatment of pain

  1. Phuong T Nguyen
  2. Hai M Nguyen
  3. Karen M Wagner
  4. Robert Stewart
  5. Vikrant Singh
  6. Parashar Thapa
  7. Yi-Je Chen
  8. Mark W Lillya
  9. Anh Tuan Ton
  10. Richard Kondo
  11. Andre Ghetti
  12. Michael W Pennington
  13. Bruce Hammock
  14. Theanne N Griffith
  15. Jon T Sack
  16. Heike Wulff  Is a corresponding author
  17. Vladimir Yarov-Yarovoy  Is a corresponding author
  1. University of California, Davis, United States
  2. University of California Davis Medical Center, United States
  3. AnaBios, United States
  4. AmbioPharm Inc, United States

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This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record updated
  2. Version of Record published
  3. Accepted Manuscript published
  4. Accepted
  5. Preprint posted
  6. Received

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  1. Phuong T Nguyen
  2. Hai M Nguyen
  3. Karen M Wagner
  4. Robert Stewart
  5. Vikrant Singh
  6. Parashar Thapa
  7. Yi-Je Chen
  8. Mark W Lillya
  9. Anh Tuan Ton
  10. Richard Kondo
  11. Andre Ghetti
  12. Michael W Pennington
  13. Bruce Hammock
  14. Theanne N Griffith
  15. Jon T Sack
  16. Heike Wulff
  17. Vladimir Yarov-Yarovoy
(2022)
Computational design of peptides to target NaV1.7 channel with high potency and selectivity for the treatment of pain
eLife 11:e81727.
https://doi.org/10.7554/eLife.81727

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https://doi.org/10.7554/eLife.81727