Marin Matic

This study discovers potent, selective macrocyclic peptide ligands for CXCR4, a class A GPCR, demonstrating the feasibility of de novo peptide design for this receptor family.

Atlantis integrates structural and functional residue-level data for the human proteome, enabling complex queries and analysis of protein interactions and mutations.

This study predicts 3D structures of human GPCR-G protein complexes using AlphaFold3 and uses machine learning to predict coupling potency, revealing new signaling mechanisms and coupling preferences across GPCR subtypes.

The paper analyzes GPCR signaling dysregulation in cancer transcriptomics data to identify therapeutic targets and survival-associated signaling axes.

The paper analyzes GPCR-G-protein complexes to identify structural determinants of G-protein coupling selectivity, revealing differences in contact patterns and stability between Gs and Gi/o complexes.