Author

G. Joas

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1

Frequent Co-Authors

A. Strange· 1 shared J. Ito· 1 shared K. Sato· 1 shared S. Lytras· 1 shared The Genotype to Phenotype Japan (G2P-Japan) Consortium· 1 shared W. Liu· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperMicrobiology

A. Strange

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1 paper

Recent·Most cited

A Protein Language Model for Exploring Viral Fitness Landscapes

J. Ito, A. Strange, W. Liu, G. Joas, S. Lytras, The Genotype to Phenotype Japan (G2P-Japan) Consortium, K. Sato

This paper introduces CoVFit, a protein language model that predicts SARS-CoV-2 variant fitness using spike protein sequences, identifying fitness-enhancing mutations and predicting emerging variants.

bioRxiv · Mar 15, 2024Microbiology