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Updated: Oct 24, 2026

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
Published on: July 18, 2013
Challenges in AI-based structural modeling of host-pathogen protein interactions
Konstantin Gilep1, Jan Kosinski2
1European Molecular Biology Laboratory Hamburg, Notkestraße 85, Hamburg 22607, Germany; Centre for Structural Systems Biology (CSSB), Notkestraße 85, Hamburg 22607, Germany.
Abstract:
Pathogens depend heavily on their hosts, a relationship driven by molecular interactions. Among the diverse molecular classes involved, proteins and protein-protein interactions (PPIs) serve as the pillars of these infectious processes. Driven by opposing natural selection pressures, with one protein adapting to escape the interaction and the other adapting to maintain it, host and pathogen proteins coevolve in this arms race. With the advent of artificial intelligence-driven structural prediction methods, initiated by AlphaFold, highly accurate structural modeling of PPIs has become feasible. Yet, host-pathogen PPIs remain difficult to model with these approaches. In this review, we describe the current state of host-pathogen structural modeling, describe recent studies, and discuss how pushing current methods to their limits might improve success rates.
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