Ryan J. Emenecker

The paper designs functional disordered regions in a transcription factor using biophysical principles to predict chromatin binding function.

This study shows how polyGR polypeptides from C9ORF72 disrupt nucleocytoplasmic transport by altering protein affinity for the nuclear pore FG barrier, leading to biphasic transport outcomes and protein aggregation.

This study investigates how intrinsic disorder in IAA7 facilitates its ubiquitylation by SCFTIR1 through structural expansion and dynamic interactions.

The paper develops a method to predict intermolecular interactions between intrinsically disordered regions and partner proteins using chemical physics principles.

The paper identifies two categories of transcription factor isoforms with distinct molecular functions and shows they contribute to gene regulatory complexity.

STARLING predicts conformational ensembles of disordered proteins from sequence, enabling rapid analysis of their structural plasticity and functional implications.

Metapredict V3 predicts intrinsically disordered regions across 20,000 proteomes to assess disorder prevalence across life kingdoms.

The paper identifies protein surface chemistry as a determinant of desiccation tolerance and shows that modifying surface amino acids can confer tolerance to otherwise sensitive proteins.

This paper investigates the structural dynamics of the intrinsically disordered troponin-T linker region using single-molecule FRET, molecular dynamics simulations, and functional assays, showing its dynamic behavior and how a mutation affects intermolecular interactions.

metapredict V2 claims better disorder-prediction accuracy than the legacy model, shipping as a web server, Python package and command-line tool, illustrated on human transcription factors.

The paper introduces metapredict, a deep-learning-based tool for fast and accurate prediction of consensus disorder and structure in proteins, outperforming existing methods and offering user-friendly access.