Unveiling plant-based antimicrobial peptides by in silico tools

HIGHLIGHTS

  • What: The model shows an accuracy of 80.1% and an AUC (Area Under the Curve) of 0.870, signifying good model performance in distinguishing between drug-like and non-drug-like compounds.
  • Who: DILBAG_THAKUR from the School of Biosciences, RIMT University, Mandi Gobindgarh, Sirhind, Punjab, India have published the paper: “Unveiling Plant-Based Antimicrobial Peptides by In Silico Tools” "Amanpreet Thakur and Puja Gupta *, in the Journal: (JOURNAL)

SUMMARY

    PSORTb (https://www.psort.org/psortb/) was used to analyzing the protein`s amino_acid sequence for features like signal peptides and . . .

     

    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 ?