Evangelos Stamkopoulos

Predicting viral host range for reverse zoonosis surveillance

The paper predicts viral host range using a combination of experimental screening and deep learning to identify potential animal reservoirs for reverse zoonotic transmission.

Dissecting serum polyclonal antibody escape to SARS-CoV-2 variants by deep mutational learning

The paper uses deep mutational learning to analyze serum antibody escape to SARS-CoV-2 variants, finding individualized escape profiles and conserved binding signatures.

Generative design of antibody Fc-variants with synthetic and programmable functional profiles

This study designs antibody Fc-variants with programmable functional profiles using deep learning and experimental validation.

PLMFit : Benchmarking Transfer Learning with Protein Language Models for Protein Engineering

PLMFit benchmarks transfer learning methods on protein language models for protein engineering tasks, identifying optimal strategies for knowledge transfer.