EIPpred: Prediction of Inhibitory Peptides against E. coli

Understanding the effectiveness of peptides against bacterial pathogens, such as Escherichia coli (E. coli), is crucial for developing novel therapeutic strategies. Predicting the Minimum Inhibitory Concentration (MIC) values of peptides can provide valuable insights into their antibacterial activity of the peptides and aid in drug discovery efforts. Therefore, introducing EIPpred, MIC prediction tool for peptides against E. coli, a rapid and reliable solution leveraging the machine learning algorithms to accurately assess antibacterial activity. With customizable inputs and an intuitive interface, users can input peptide sequences, customize prediction settings, and visualize results seamlessly. Our tool offers accurate and rapid predictions to guide researchers in the development of antibacterial peptides