Welcome to the Prediction Module of our web server. Here, users can predict the hemolytic
potency of their peptides. To begin, simply choose your input file (FASTA format) or input
your sequences.
After submission, you have two options:
1. Regression:
Predicts the Hazardous Concentration (HC50) or Half Maximum Effective Concentration (EC50) in μM.
This indicates the concentration at which 50% of red blood cells (RBCs) are lysed. This model operates
on the Random Forest Regressor (RFR) algorithm.
2. Classification:
Determines whether peptides are hemolytic or non-hemolytic based on their primary
sequence. We have employed machine learning models and protein language models. The provided options include RF and ESM2-t6 models,
as well as their hybrids with MERCI. You can select your preferred
model for prediction. By default, this use the Hybrid1 (ESM2-t6+MERCI) approach, which has demonstrated best
performance on our evaluation on independent dataset as well as runtime efficient. For further details, please refer to the Help page.