Pesto: parameter-free geometric deep learning for accurate prediction of protein binding interfaces

HIGHLIGHTS

• who: Lucien F. Krapp from the (UNIVERSITY) have published the article: PeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces, in the Journal: (JOURNAL) of 28/03/2023
• what: Out of the remaining 24 cases, the authors show that it is possible to fully recover the binding interface for additional 16 subunits (80%) using MD to more extensively sample the protein conformation landscape and clustering to further group predicted interfaces. Residues with high protein interaction scores (e_g, K324-K348 for the reported RBP, L251- R257 and R638-L46 around the reported . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.