Amelie Schreiber

AmelieSchreiber

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.

Amelie Schreiber

AI & ML interests

Articles

A New Era in Multistep Enzyme Design

A Guide to Designing New Functional Proteins and Improving Protein Function, Stability, and Diversity with Generative AI

RFDiffusion Potentials

Predicting the Effects of Mutations on Protein Function with ESM-2

Faster Persistent Homology Alignment and Protein Complex Clustering with ESM-2 and Persistence Landscapes

Clustering Protein Complexes using Persistent Homology and Finetuning ESM-2 for PPI Network Prediction

ESM-2 for Generating and Optimizing Peptide Binders for Target Proteins

Persistent Homology Alignment (PHA): Replacing Multiple Sequence Alignments using ESM-2 and Persistent Homology

In Silico Directed Evolution of Protein Sequences with ESM-2 and EvoProtGrad

QLoRA for ESM-2 and Post Translational Modification Site Prediction

Estimating the Intrinsic Dimension of Protein Sequence Embeddings using ESM-2

Predicting Protein-Protein Interactions Using a Protein Language Model and Linear Sum Assignment

ESMBind (ESMB) Ensemble Models

ESMBind (ESMB): Low Rank Adaptation of ESM-2 for Protein Binding Site Prediction

Organizations

AmelieSchreiber's activity

Demo_ProTrek_650M_UniRef50

DiffDock Web

ESM-Variants