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Published on: June 23, 2012
RAISE: A computational tool for evaluating sarbecovirus spillover potential
He Huang1,2,3, Lupeng Kong4, Yanzhi Zhu1,4
1NHC Key Laboratory of Systems Biology of Pathogens, State Key Laboratory of Respiratory Health and Multimorbidity, Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China.
Abstract:
Animal sarbecoviruses, relatives of SARS-CoV or SARS-CoV-2, pose a significant zoonotic threat driven by their ability to bind the human ACE2 (hACE2) receptor. To address challenges in evaluating these threats, we developed RAISE (Receptor binding domain-hACE2 Interaction Scoring Evaluation), a computational framework that integrates structural predictions with interaction scoring. By scoring predicted hACE2 interactions, our RAISE model categorized sarbecoviruses into three groups: high potential (hACE2-binding), negligible potential (hACE2-nonbinding), and an intermediate "poised" state (a state defined by either weak binding activity or a high potential to evolve it). Mutation screening of two "hACE2-poised" sarbecoviruses, PDF-2370 and Khosta-1 using RAISE, revealed mutations such as T498Y/W that enabled human ACE2 utilization and expanded their ability to bind to ACE2 receptors from a broader range of species. The model's generalizability was further demonstrated through prospective application to merbecoviruses, highlighting its utility in preemptively assessing zoonotic threats across coronavirus lineages. RAISE provides a predictive roadmap for prioritizing risk viruses and guiding pandemic preparedness.
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