Author

Amelie Schreiber

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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Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Activity by Year

2023-2023 · peak 1/yr

1 paper

Recent·Most cited

Molecular BiologybioRxivPreprintNov 13, 2023

ESMBind and QBind: LoRA, QLoRA, and ESM-2 for Predicting Binding Sites and Post Translational Modification

Amelie Schreiber

This study applies LoRA and QLoRA to predict protein binding sites using ESM-2 without MSA or structural data, showing improved performance and reduced overfitting.

11 citations

protein sequencedeep learning

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