Welcome To HemoPI2.0
A WEB SERVER DESIGNED TO PREDICT HEMOLYTIC ACTIVITY OF PEPTIDES
Welcome To HemoPI2.0
A WEB SERVER DESIGNED TO PREDICT HEMOLYTIC ACTIVITY OF PEPTIDES
A WEB SERVER DESIGNED TO PREDICT HEMOLYTIC ACTIVITY OF PEPTIDES
A WEB SERVER DESIGNED TO PREDICT HEMOLYTIC ACTIVITY OF PEPTIDES
Welcome to HemoPI2.0, our comprehensive tool to assist theraputic peptide designing. Our mission is to empower researchers engaged in therapeutic peptide development by providing innovative methods for quantifying and classifying hemolytic peptides that target mammalian red blood cells (RBCs). HemoPI2.0 stands out as a novel approach, trained and evaluated on a robust dataset of 1926 experimentally validated hemolytic peptides. Leveraging machine learning, deep learning, and protein language models, we've crafted regression and classification models, including those utilizing word embeddings from protein language models. Rigorously benchmarked against diverse non-redundant and external datasets, HemoPI2.0 represents a significant advancement over its predecessor, HemoPI (See Scientific Reports doi:10.1038/srep22843). Lastly, if users are interested in predicting the hemolytic activity of chemically modified peptides rather than standard peptides, they should use our old server, Hemopi-MOD (See Front. Pharmacol. doi:10.3389/fphar.2020.00054), which is specifically designed for predicting hemolytic potency of chemically modified peptides from its structure.
Our server empowers users to predict the hemolytic, hemotoxic, or RBC lysing potential of peptides, enabling functions such as virtual screening and analog-based peptide design. Here are some key features and modules:
Predict the hemolytic potency of peptides and their analogs.
Identify hemolytic regions within a peptide.
This facilitates users in scanning or mapping hemolytic motifs within the query sequence using MERCI.
The creates non-toxic peptides from the primary sequence, generating mutant peptides with a single mutation for hemolytic activity prediction.
Standalone software and pip package, designed for large-scale hemolytic peptide prediction, and the associated datasets.
The Help page offers assistance and guidance on using the tool effectively. The Team link provides information about the team behind HemoPI2.0, and the Contact link allows users to reach out for any inquiries or feedback.
Let HemoPI2.0 be your guide in the pursuit of innovative solutions for healthcare and beyond.
We envision a future where all resources freely accessible to the scientific community through open source software and open access initiatives.