Real-Time Pathogen-Host Interactome Prediction
AI Overview
This RFP seeks a computational system using protein language models to rapidly characterize pathogen-host interactions from sequence data alone, enabling faster threat assessment and therapeutic response when novel pathogens emerge. The capability must predict protein interactions across pathogen classes, work on unseen pathogens, and deliver comprehensive analysis within one hour on standard hardware.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
When novel or emerging pathogens (bacteria, viruses, parasites) are encountered, characterization of their interactions with human hosts currently requires weeks to months of experimental work, often yielding incomplete understanding. This capability gap limits rapid therapeutic response and countermeasure development. Recent advances in protein language models and large-scale protein-protein interaction (PPI) prediction make computational threat characterization feasible. This topic seeks to de...
Change History
Real-Time Pathogen-Host Interactome Prediction
New opportunity: Real-Time Pathogen-Host Interactome Prediction
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