Article
Expert-guided protein Language Models enable accurate and blazingly fast fitness prediction
2024-04-28
Abstract excerpt
Exhaustive experimental annotation of the effect of all known protein variants remains daunting and expensive, stressing the need for scalable effect predictions. We introduce VespaG, a blazingly fast missense amino acid variant effect predictor, leveraging protein Language Model (pLM) embeddings as input to a minimal deep learning model. To overcome the sparsity of experimental training data, we created a dataset...
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Identifiers and source
- Literature Corpus work
- 7d0258aa-7872-5a50-b61b-d03c67c1e32e
- DOI
- 10.1101/2024.04.24.590982
