Jimmy Gollihar

ViralMap predicts ten annotation classes for viral proteins from primary sequences, achieving high performance on seven classes and generalizing across viral strains and families.

This study evolves a T7 RNA polymerase variant with a capping enzyme to enable efficient gene expression in eukaryotes, showing improved performance in yeast and mammalian cells.

The paper describes the directed evolution of biosensors to improve detection of phloroglucinol and related single-ring aromatics.

The paper develops yeast biosensors for CB1R and CB2R to screen cannabinoids and identify structure-activity relationships.

This study engineers yeast to produce cholesterol, enabling functional expression of human opioid and other GPCRs, creating biosensors with measurable agonist responses and antagonist inhibition.

The paper designs synthetic promoters and CRISPR-based transcription factors to enable orthogonal gene expression control in plants, demonstrating a fully artificial Orthogonal Control System (OCS).

The paper identifies SARS-CoV-2 neutralizing antibodies from convalescent patients and describes a novel quaternary binding mechanism using high-throughput methods.

The paper sequences 320 SARS-CoV-2 genomes from Houston to study early pandemic spread, finding diverse origins and no evidence of more virulent strains.

This study identifies TUBB8 as the molecular target of benzimidazoles, revealing their mechanism of vascular disruption and potential clinical applications.

This paper introduces a 3D convolutional neural network for protein engineering that identifies gain-of-function mutations, validated by experimental improvements in protein stability.