Author

Liang L. Hong

Shanghai Jiao Tong UniversityORCID 0009-0005-4044-3484Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:variant effect prediction· 1

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Bozitao ZhongiD· 1 shared Mingchen LiiD· 1 shared Yang TaniD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Bozitao ZhongORCID

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1 paper

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BioinformaticsbioRxivPreprintOct 2, 2024

Unlearning Virus Knowledge Toward Safe and Responsible Mutation Effect Predictions

Mingchen Li, Bozitao Zhong, Yang Tan, Liang L. Hong

This paper introduces PROEDIT, a method to remove virus-related knowledge from pre-trained protein models to improve safety in mutation effect predictions without affecting performance on non-virus proteins.

1 citation

protein sequencedeep learning

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