Kelly P. Brock

Protein structure, a genetic encoding for glycosylation

The paper identifies a relationship between protein structure and glycan structure, introducing a glycoimpact matrix to predict glycosylation patterns and validate it through disease variants and engineered antibodies.

Natural and designed proteins inspired by extremotolerant organisms can form condensates and attenuate apoptosis in human cells

The paper identifies extremotolerant proteins that form condensates and protect human cells from apoptosis, including a synthetic protein and a region of ApoE.

Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning

The paper predicts the pathogenicity of 11 million genetic variants across 1,081 disease genes using a deep learning model that leverages evolutionary data instead of clinical labels.

Proteome-scale discovery of protein interactions with residue-level resolution using sequence coevolution

The paper uses sequence coevolution to predict protein interactions in E. coli, identifying 620 new interactions and their structures.

The EVcouplings Python framework for coevolutionary sequence analysis

The paper introduces EVcouplings, a Python framework for coevolutionary sequence analysis that enables structure prediction and mutation effect assessment.

3D protein structure from genetic epistasis experiments

The paper uses genetic epistasis experiments to predict 3D protein structures with 86% accuracy for residue contacts and generates models within 2.4 Å of known structures for small proteins.