Andreas Scheck

Mapping the latent CRBN-molecular glue degrader interactome

The paper identifies CRBN-pomalidomide binders using a combination of GluePCA and AI-derived protein surface queries, revealing known and novel interactors for MGD development.

Contrastive learning for antibody-antigen sequence-to-specificity prediction

This paper introduces CALM, a model that predicts antibody-antigen binding from sequences using contrastive learning, achieving 7% top-1 retrieval on a test set.

Computationally designed stem-epitope mimetics elicit broadly reactive antibodies

This study designs stem-epitope mimetics using computational methods to elicit broadly reactive antibodies against influenza viruses.

RosettaSurf - a surface-centric computational design approach

RosettaSurf is a computational design method that optimizes protein surfaces for functional sites, showing success in generating epitope mimics through surface-centric design.

Computational design of anti-CRISPR proteins with improved inhibition potency and expanded specificity

The paper designs improved anti-CRISPR proteins with enhanced inhibition potency and expanded specificity through structure-based engineering.

Rosetta FunFolDes - a general framework for the computational design of functional proteins

This paper introduces a computational framework for designing functional proteins by integrating folding and sequence design, showing that functional motifs can be embedded without requiring the global energy minimum.

rstoolbox: management and analysis of computationally designed structural ensembles.

rstoolbox provides tools for analyzing protein design ensembles, enabling efficient processing of decoy sets and benchmarking of design protocols.