C. M. Chow

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.

De novo design of modular peptide binding proteins by superhelical matching

This paper introduces a method to design modular peptide binding proteins that bind repeating peptide sequences with high specificity and affinity.

Large-scale design and refinement of stable proteins using sequence-only models

The paper presents two neural network models for predicting and generating stable proteins based on amino acid sequences, showing improved stability in both expert-designed and model-generated proteins.

Elicitation of potent neutralizing antibody responses by designed protein nanoparticle vaccines for SARS-CoV-2

This study designs SARS-CoV-2 nanoparticle vaccines that induce strong neutralizing antibodies in mice, with higher titers and lower doses than existing trimer vaccines.

Hierarchical design of multi-scale protein complexes by combinatorial assembly of oligomeric helical bundle and repeat protein building blocks

This paper describes a hierarchical method to design multi-scale symmetric protein complexes using repeat proteins and helical bundles, resulting in large symmetric assemblies like an icosahedral nanocage.

A generative algorithm for de novo design of proteins with diverse pocket structures

This paper introduces a generative algorithm for designing de novo proteins with diverse small molecule binding pockets, validated through experimental testing and showing improved stability and diversity compared to natural proteins.