Evidence map›Paper›PMID 42034636›Full record

ArticleNature communications2026

RAISE: A computational tool for evaluating sarbecovirus spillover potential.

He Huang, Lupeng Kong, Yanzhi Zhu, Yue Dai, Yutong Yang, Yuyang Wang, Zhiqiang Wu, Yi Qin Gao, Lili Ren

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

He Huang *NHC 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.ORCID http://orcid.org/0000-0002-4887-2671
Lupeng Kong *Changping Laboratory, Beijing, PR China.
Yanzhi Zhu *NHC 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.ORCID http://orcid.org/0009-0007-1603-7720
Yue Dai *NHC 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.ORCID http://orcid.org/0009-0007-2338-6566
Yutong YangNHC 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.
Yuyang WangNHC 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.ORCID http://orcid.org/0000-0002-7164-700X
Zhiqiang WuNHC 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.ORCID http://orcid.org/0000-0003-1139-3260
Yi Qin GaoNew Cornerstone Science Laboratory, College of Chemistry and Molecular Engineering, Peking University, Beijing, PR China. gaoyq@pku.edu.cn.ORCID http://orcid.org/0000-0002-4309-9376
Lili RenNHC 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. renliliipb@163.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82221004
6 · The paper itself

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.

Indexed as

Angiotensin-Converting Enzyme 2Computational BiologySevere acute respiratory syndrome-related coronavirusAnimalsHumansMutationProtein BindingReceptors, VirusZoonosesACE2 protein, humanAngiotensin-Converting Enzyme 2Receptors, Virus

Identifiers

PMID42034636
PMCPMC13323742

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.