Article

Predictive profiling of SARS-CoV-2 variants by deep mutational learning

2021-12-09

Abstract excerpt

The continual evolution of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and the emergence of variants that show resistance to vaccines and neutralizing antibodies ( 1–4 ) threaten to prolong the coronavirus disease 2019 (COVID-19) pandemic ( 5 ). Selection and emergence of SARS-CoV-2 variants are driven in part by mutations within the viral spike protein and in particular the ACE2 receptor-bi...

Topics

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

Identifiers and source

Literature Corpus work: 6f822e02-c698-5f54-a9da-eadd8d94172d
DOI: 10.1101/2021.12.07.471580

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predictive profiling of SARS-CoV-2 variants by deep mutational learningDOI 10.1101/2021.12.07.471580Read

Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain.Semantic proximity Read

Deep learning-guided selection of antibody therapies with enhanced resistance to current and prospective SARS-CoV-2 Omicron variantsSemantic proximity Read

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

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

Machine Learning on the Impacts of Mutations in the SARS-CoV-2 Spike RBD on Binding Affinity to Human ACE2 Based on Deep Mutational Scanning Data.Semantic proximity Read

Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2Semantic proximity Read

Modeling the Mutational Effects on Biochemical Phenotypes of SARS-CoV-2 Using Molecular Fields.Semantic proximity Read

Mutational analysis of SARS-CoV-2 variants of concern reveals key tradeoffs between receptor affinity and antibody escape.Semantic proximity Read

Predicting the mutational drivers of future SARS-CoV-2 variants of concern.Semantic proximity Read

Revealing the threat of emerging SARS-CoV-2 mutations to antibody therapiesSemantic proximity Read

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding.Semantic proximity Read

Revealing the Threat of Emerging SARS-CoV-2 Mutations to Antibody Therapies.Semantic proximity Read