Learning the language of viral evolution
Nettet9. jul. 2024 · Here, we demonstrate an unprecedented ability to predict viral escape by using machine learning algorithms originally developed to model the complexity of human natural language. Our key ... Nettet9. jul. 2024 · Abstract. Viral mutation that escapes from human immunity remains a major obstacle to antiviral and vaccine development. While anticipating escape could aid …
Learning the language of viral evolution
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Nettet7. apr. 2024 · The viral genomes were converted into the four different levels of genome representation and twenty feature sets were generated by extracting k-mer compositions and predicted protein domains. Nettet16. jun. 2024 · Abstract. Language models have recently emerged as a powerful machine-learning approach for distilling information from massive protein sequence databases. …
Nettet25. mar. 2024 · Natural language processing (NLP) is a field of computer science concerned with automated text and language analysis. In recent years, following a series of breakthroughs in deep and machine learning, NLP methods have shown overwhelming progress. Here, we review the success, promise and pitfalls of … NettetMIT researchers used natural language processing (NLP) in a recent study to predict for potential mutations that allow viral immune escape, a process through…
http://brianhie.com/brianhie_cv.pdf NettetLearning the language of viral evolution and escape. Science. 2024; 371: 284-288. Crossref; PubMed; ... Recently, Hie et al. used language models to learn evolutionary …
Nettet9. jul. 2024 · Our key conceptual advance is that predicting escape requires identifying mutations that preserve viral fitness, or “grammaticality,” and also induce high …
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