Kiarash Jamali

GuideFlip co-designs protein structure and sequence for flexible targets, improving in silico success rates and experimentally validating binders to disordered proteins.

The paper introduces new tools in RELION-5.1 for automated processing and analysis of cryo-EM images of amyloid filaments, demonstrating their application on experimental datasets.

This paper introduces an improved orthogonal replication system in E. coli that enables rapid gene evolution with high mutation rates and demonstrates its application in evolving ethanol assimilation pathways.

The paper introduces Progres, a method for fast protein structure searching using graph neural networks, achieving accuracy comparable to existing methods with rapid query times.

ModelAngelo combines convolutional and graph neural networks with protein language model embeddings and hidden Markov model searches to automate atomic model building and identify unknown proteins in cryo-EM maps.