Virtual Screening of Potential Inhibitory Alkaloids of Staphylococcus aureus

Vol 9, 2023 - 166728
Poster
Download
Favorite this paper
How to cite this paper?
Abstract

The QSAR models were built according to good data analysis practices, the predictive ability to predict potentially active alkaloids against S. aureus was evaluated through external validation, and the selected molecular descriptors present descriptive compatibility with the inhibitory activity.

Share your ideas or questions with the authors!

Did you know that the greatest stimulus in scientific and cultural development is curiosity? Leave your questions or suggestions to the author!

Sign in to interact

Have a question or suggestion? Share your feedback with the authors!

Institutions
  • 1 Universidade Federal de Sergipe
  • 2 Universidade Estadual de Campinas
  • 3 Federal University of Sergipe
Track
  • 2. Biological and Pharmacological Activity of Natural Products
Keywords
in silico studies; QSAR; Natural products