Article

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks

2024-09-08

Abstract excerpt

Predicting the evolutionary patterns of emerging and endemic viruses is key for mitigating their spread in host populations. In particular, it is critical to rapidly identify mutations with the potential for immune escape or increased disease burden (variants of concern). Knowing which circulating mutations are such variants of concern can inform treatment or mitigation strategies such as alternative vaccines or t...

Topics

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

Identifiers and source

Literature Corpus work: 59270745-9d7c-5b96-83d9-b1016b77d2b8
DOI: 10.1101/2024.09.04.611278

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworksDOI 10.1101/2024.09.04.611278Read

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks.Semantic proximity Read

Learning the language of viral evolution and escapeSemantic proximity Read

Learning the language of viral evolution and escape.Semantic proximity Read

From single-sequences to evolutionary trajectories: protein language models capture the evolutionary potential of SARS-CoV-2.Semantic proximity Read

A Contrastive Learning Framework for Efficient Viral Escape Prediction.Semantic proximity Read

Predicting Immune Escape with Pretrained Protein Language Model EmbeddingsSemantic proximity Read

A predictive language model for SARS-CoV-2 evolution.Semantic proximity Read

RNA Large Language Models in Virology.Semantic proximity Read

A germline shortcut in protein language model retrieval of adaptive immune receptorsSemantic proximity Read

Language models learn to represent antigenic properties of human influenza A(H3) virusSemantic proximity Read

HViLM: A Foundation Model for Viral Genomics Enables Multi-Task Prediction of Pathogenicity, Transmissibility, and Host TropismSemantic proximity Read

Fine-Tuning Protein Language Models Unlocks the Potential of Underrepresented Viral ProteomesSemantic proximity Read