Amelie Schreiber
AmelieSchreiber
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AI & ML interests
Diffusion and flow matching models for proteins, small molecules, DNA, and RNA, protein language models, machine translation, equivariant attention mechanisms, LoRA, and QLoRA.
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Articles
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A Guide to Designing New Functional Proteins and Improving Protein Function, Stability, and Diversity with Generative AI
published
an
article
about 1 year ago
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Predicting the Effects of Mutations on Protein Function with ESM-2
published
an
article
about 1 year ago
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Faster Persistent Homology Alignment and Protein Complex Clustering with ESM-2 and Persistence Landscapes
published
an
article
about 1 year ago
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Clustering Protein Complexes using Persistent Homology and Finetuning ESM-2 for PPI Network Prediction
published
an
article
about 1 year ago
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ESM-2 for Generating and Optimizing Peptide Binders for Target Proteins
published
an
article
about 1 year ago
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Persistent Homology Alignment (PHA): Replacing Multiple Sequence Alignments using ESM-2 and Persistent Homology
published
an
article
about 1 year ago
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In Silico Directed Evolution of Protein Sequences with ESM-2 and EvoProtGrad
published
an
article
about 1 year ago
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QLoRA for ESM-2 and Post Translational Modification Site Prediction
published
an
article
over 1 year ago
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Estimating the Intrinsic Dimension of Protein Sequence Embeddings using ESM-2
published
an
article
over 1 year ago
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Predicting Protein-Protein Interactions Using a Protein Language Model and Linear Sum Assignment
published
an
article
over 1 year ago
published
an
article
over 1 year ago
view article
ESMBind (ESMB): Low Rank Adaptation of ESM-2 for Protein Binding Site Prediction