In Silico tool for predicting, designing and scanning IL-2 inducing peptides

In Silico tool for predicting, designing and scanning IL-2 inducing peptides

Abstract Interleukin-2 (IL-2) based immunotherapy has been approved for treating certain types of cancer, as IL-2 plays a crucial role in regulating the immune system. In this study, we developed a method for predicting IL-2-inducing peptides. Our method was trained, tested, and validated on a main...

Full description

Saved in:
Bibliographic Details
Main Authors: Naman Kumar Mehta, Anjali Lathwal, Rajesh Kumar, Dilraj Kaur, Gajendra P. S. Raghava
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
IL-2 epitopes
Cancer immunotherapy
Large Language models
MERCI, machine learning techniques
Online Access:https://doi.org/10.1038/s41598-025-08388-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-08388-2

Similar Items