Antimicrobial Peptides (AMP)s are naturally produced in nature by organisms and have been known for a while to aid in the combat of fighting off harmful microbes. AMPs alone, however, have their own limitations in nature such as becoming toxic to individuals at certain concentrations, low solubility, as well as being susceptible to protease. In order to get around these challenges, past studies have shown that using synthetically made nanoparticles as “vehicles” to deliver the AMPs to the target infected area may prove to be an effective way of promoting antimicrobial activity. The purpose of this study is to use machine learning to determine which characteristics of AMPs are associated with antimicrobial activity in hopes to add value to the research of combating harmful bacteria.

Rice University,  National Science Foundation (NSF) award #EEC-1406885

Researchers should cite this work as follows:

• Emanuel Byas, Rice University (2022), "The Vital AMP," https://nanohub.org/resources/36315.

  BibTex | EndNote

1. antibacterial
2. Antimicrobial Peptides
3. bacteria
4. nanoparticles