Gevorg Grigoryan

This paper uses AI agents to design and refine CAR intracellular domains, resulting in a compact ICD that improves CAR expression and function.

This study identifies two broadly neutralizing sarbecovirus antibodies that resist viral evolution and show improved neutralization when combined.

This paper combines computational modeling and experimental screening to enhance the affinity of the VEEV-neutralizing antibody F5, resulting in variants with significantly improved binding.

This study compares six methods for predicting antibody-antigen complex structures from sequences, finding that AlphaFold-Multimer performs best but faces limitations due to insufficient interfacial geometry data.

The paper describes engineered NEMO constructs that enable structural analysis of the NEMO/IKK interaction, revealing a novel ligand binding motif and informing inhibitor design.

This paper introduces Chroma, a generative model for proteins that can sample novel structures and sequences, conditioned on desired properties and functions.

The paper introduces an improved version of a protein sub-structure search algorithm, MASTER v.2, as an open-source C++ library for programmatic access to structural search functionality.