Article

Embeddings from protein language models predict conservation and variant effects

2021-12-02

Abstract excerpt

<title>Abstract</title> <p>The emergence of SARS-CoV-2 variants stressed the demand for tools allowing to interpret the effect of single amino acid variants (SAVs) on protein function. While Deep Mutational Scanning (DMS) sets continue to expand our understanding of the mutational landscape of single proteins, the results continue to challenge analyses. Protein Language Models (pLMs) use the latest deep learning...

Topics

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

Identifiers and source

Literature Corpus work: aef88798-5a5b-5cc2-8bcc-87d529b520db
DOI: 10.21203/rs.3.rs-584804/v3

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Embeddings from protein language models predict conservation and variant effectsDOI 10.21203/rs.3.rs-584804/v3Read

pLM-SAV: A Δ-Embedding Approach for Predicting Pathogenic Single Amino Acid VariantsSemantic proximity Read

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

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

Improving Variant Effect Prediction by Steering Sparse Mechanistic Features in Protein Language ModelsSemantic proximity Read

Structure-informed protein language models are robust predictors for variant effects.Semantic proximity Read

Expert-guided protein Language Models enable accurate and blazingly fast fitness predictionSemantic proximity Read

SETH predicts nuances of residue disorder from protein embeddingsSemantic proximity Read

Protein language models trained on biophysical dynamics inform mutation effects.Semantic proximity Read

Predicting Immune Escape with Pretrained Protein Language Model EmbeddingsSemantic proximity Read

A deep mutational scanning-informed protein language model predicts SARS-CoV-2 evolution dynamics with spatiotemporal resolution.Semantic proximity Read

Inferring context-specific site variation with evotuned protein language models.Semantic proximity Read

High-throughput deep learning variant effect prediction with Sequence UNETSemantic proximity Read