AI-Assisted Computed Structure Models for Pre-Ubiquitylation Complexes Assembled by Respiratory Syncytial Viral Suppressors of Cellular Interferon Response
Sailen Barik

TL;DR
This paper uses AI to model how respiratory syncytial virus proteins assemble a system that helps the virus avoid the host's immune response.
Contribution
The study introduces computed structure models of pre-ubiquitylation complexes assembled by RSV proteins using AlphaFold3.
Findings
AI-generated models suggest the NS proteins and Elongin BC form a stable pre-ubiquitylation complex.
The three-protein complex is more energetically stable than a two-protein complex.
These models provide new insights into RSV's immune evasion mechanism.
Abstract
Multiple viruses suppress the antiviral defense system of the host for optimal growth and pathogenesis by co-opting the ubiquitin-mediated proteasomal system (UPS) that promotes the degradation of cellular substrates belonging to the interferon pathway. In the Orthopneumovirus genus, respiratory syncytial virus (RSV), a significant pathogen in human and other animals, employs a pair of viral nonstructural proteins (NS1, NS2) to assemble the UPS. The lack of experimental three-dimensional structures of the substrate proteins and the NS-assembled UPS has impeded progress in our understanding of the mechanism of this assembly process. In an effort to remedy this deficiency, I have taken advantage of the burgeoning field of AI (artificial intelligence) and machine learning programs, such as AlphaFold3, to model the pre-ubiquitylation cores in various combination of the subunits to construct…
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Taxonomy
Topicsinterferon and immune responses · Ubiquitin and proteasome pathways · Respiratory viral infections research
