Back to search

Article

An Integrated Computational Antigen Discovery Pipeline with Hierarchical Filtering for Emerging Viral Variants

2026-03-03

Abstract excerpt

Emerging and evolving viral diseases, such as SARS-CoV-2, continue to pose significant global health challenges, underscoring the urgent need for rapid and scalable antigen discovery pipelines. This work presents a computational pipeline that integrates diverse computational tools and machine learning models to accelerate the identification and optimization of antigen candidates. The pipeline employs efficient fil...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e50b81ff-b2f7-560d-85f1-a023bc2df6ef
DOI
10.64898/2026.03.02.709067
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An Integrated Computational Antigen Discovery Pipeline with Hierarchical Filtering for Emerging Viral VariantsDOI 10.64898/2026.03.02.709067
Select a neighboring publication to make it the new centre.