Article

Machine Learning Driven Simulations of the SARS-CoV-2 Fitness Landscape from Deep Mutational Scanning Experiments

2024-09-23

Abstract excerpt

Predicting protein variant effects is a key challenge in preparing for pathogenic viral strains, understanding mutation-linked diseases, and designing new proteins. Protein sequence-structure-function relationships are difficult to model due to complex allosteric and epistatic effects. To investigate efficient modeling strategies, we trained supervised machine learning (ML) models with deep mutational scanning (DM...

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Literature Corpus work: 550fe5f9-e17f-53de-96dd-ca7a6def7b97
DOI: 10.1101/2024.09.20.614179

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