RAISE: A computational tool for evaluating sarbecovirus spillover potential

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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Publication Details

Journal
Nature Communications
Published
2026-04-25
DOI
https://doi.org/10.1038/s41467-026-72327-6
Primary Topic
Viral Infections and Immunology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

RAISE: A computational tool for evaluating sarbecovirus spillover potential

He Huang, Lupeng Kong, Yanzhi Zhu, Yuyang Wang et al.
Nature Communications
Viral Infections and Immunology Research
article

RAISE: A computational tool for evaluating sarbecovirus spillover potential

He Huang, Lupeng Kong, Yanzhi Zhu, Yuyang Wang, Zhìqiáng Wú, Yutong Yang, Lili Ren, Yi Qin Gao, Yue Dai
article en

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.

Nature Communications
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Ministry of Education (RO), Beijing National Laboratory for Molecular Sciences (CN), Early Warning (United States) (US)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Viral Infections and Immunology Research
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