B. I. M. Wicky

Atomically accurate de novo design of antibodies with RFdiffusion

This paper designs antibodies de novo with atomic precision using RFdiffusion and yeast display, validated by cryo-EM and biophysical methods.

Improving protein expression, stability, and function with ProteinMPNN

This paper introduces ProteinMPNN, a deep learning model that improves protein expression, stability, and function by incorporating evolutionary and structural information.

Stepwise design of pseudosymmetric protein hetero-oligomers

The paper introduces a method to design pseudosymmetric protein hetero-oligomers by redesigning symmetric homo-oligomers and recombining them to form new hetero-oligomers with high structural specificity.

Hallucinating protein assemblies

Deep network-based protein design generates symmetric homo-oligomers with high structural accuracy, demonstrating the potential for creating novel nanomachines and biomaterials.

Robust deep learning based protein sequence design using ProteinMPNN

A deep learning method for protein sequence design shows high performance in both simulations and experiments, applicable to various design challenges.

Protein sequence design by explicit energy landscape optimization

This paper designs protein sequences by optimizing an energy landscape to ensure they fold into a desired structure, showing improved performance over traditional methods.

Spontaneous oligomerization of BAK/BAX is suppressed by hetero-dimerization with MCL-1

This study shows that BAK/BAX spontaneous oligomerization is suppressed by MCL-1 hetero-dimerization, with BH3-only proteins disrupting these interactions to promote apoptosis.