Nathan J. Rollins

The paper introduces a protein engineering competition to benchmark computational models for protein design and characterization, with results from a pilot tournament involving seven teams.

ProteinGym unifies over 250 deep mutational scans and ~65k clinical variants to benchmark over 70 models in zero-shot and supervised settings; TranceptEVE ranks best overall.

This paper introduces a de-biasing method for sequence models of protein fitness to improve predictions of functional variants far from natural sequences.

The paper develops a high-content assay to identify viral genes that suppress innate immunity and validates known and novel immune suppressors from various viral families.

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

MaveDB v2 curates over three million variant effects from MAVE studies to facilitate analysis and dissemination of functional assay data.

The paper screens coronavirus proteins for innate immune suppression, finding SARS-CoV-2 proteins are more potent immune suppressors than other coronaviruses.

The paper measures the effects of VKOR variants on abundance and activity in human cells, revealing its topology, active site, and the impact of human variants.

The paper demonstrates that mammalian cells can produce novel steroids using steroid-modifying enzymes, identifying new hydroxylation sites and potential applications for drug candidate testing.

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.