CASE STUDY
Advancements in Vaccine Discovery: A Computational Approach with Vax-ELAN Pipeline
Key Highlights
- Antigen identification is crucial in vaccine development.
- The Vax-ELAN pipeline (https://vac.kamalrawal.in/vaxelan/) was developed using computational tools.
- It is designed to screen pathogen proteomes for potential vaccine candidates.
- Computational methods, including deep learning, assist in identifying vaccine targets using genomic and proteomic data.
- Introduction of a computational system utilizing reverse vaccinology and immuno-informatics tools.
- Vax-ELAN assesses and shortlists proteins based on specific characteristics, qualifying them as potential vaccine candidates.