CovInter: interaction data between coronavirus RNAs and host proteins

Author:

Amahong Kuerbannisha12,Zhang Wei12,Zhou Ying3,Zhang Song1ORCID,Yin Jiayi12,Li Fengcheng12,Xu Hongquan4,Yan Tianci4,Yue Zixuan4,Liu Yuhong4,Hou Tingjun1,Qiu Yunqing3,Tao Lin4,Han Lianyi5ORCID,Zhu Feng12ORCID

Affiliation:

1. College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University , Hangzhou  310058,  China

2. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare , Hangzhou 330110, China

3. State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, Zhejiang University , Hangzhou 310000, China

4. Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University , Hangzhou 311121, China

5. Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences, Fudan University , Shanghai 315211, China

Abstract

Abstract Coronavirus has brought about three massive outbreaks in the past two decades. Each step of its life cycle invariably depends on the interactions among virus and host molecules. The interaction between virus RNA and host protein (IVRHP) is unique compared to other virus–host molecular interactions and represents not only an attempt by viruses to promote their translation/replication, but also the host's endeavor to combat viral pathogenicity. In other words, there is an urgent need to develop a database for providing such IVRHP data. In this study, a new database was therefore constructed to describe the interactions between coronavirus RNAs and host proteins (CovInter). This database is unique in (a) unambiguously characterizing the interactions between virus RNA and host protein, (b) comprehensively providing experimentally validated biological function for hundreds of host proteins key in viral infection and (c) systematically quantifying the differential expression patterns (before and after infection) of these key proteins. Given the devastating and persistent threat of coronaviruses, CovInter is highly expected to fill the gap in the whole process of the ‘molecular arms race’ between viruses and their hosts, which will then aid in the discovery of new antiviral therapies. It's now free and publicly accessible at: https://idrblab.org/covinter/

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Fundamental Research Fund of Central University

Key Research and Development Program of Zhejiang Province

Chinese ‘Double Top-Class’ Universities

Westlake Laboratory of Life Science & Biomedicine

Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare

Alibaba Cloud

Information Tech Center of Zhejiang University

Publisher

Oxford University Press (OUP)

Subject

Genetics

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