Machine learning-coupled combinatorial mutagenesis enables resource-efficient engineering of crispr-cas9 genome editor activities

HIGHLIGHTS

  • who: Dawn G. L. Thean from the School The University t, Hong Kong, SAR, China have published the Article: Machine learning-coupled combinatorial mutagenesis enables resource-efficient engineering of CRISPR-Cas9 genome editor activities, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
  • what: The authors describe how ML can be applied to a focused library derived from the structure-guided design. The authors show that ML-based in silico screens are efficient and accurate in independent Cas9 optimization tasks, reducing the wet-lab labor by as high as 95%. The authors aim to boost the activity . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?