CEG 2.0: an updated database of clusters of essential genes including eukaryotic organisms

Author:

Liu Shuo12,Wang Shu-Xuan1,Liu Wei1,Wang Chen1,Zhang Fa-Zhan1,Ye Yuan-Nong3,Wu Candy-S4,Zheng Wen-Xin5,Rao Nini1,Guo Feng-Biao2ORCID

Affiliation:

1. School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China

2. Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China

3. Bioinformatics and BioMedical Bigdata Mining Laboratory, Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China

4. Thomas Worthington High School, 300 West Granville Road, Worthington, OH 43085, USA

5. School of Biomedical Engineering, Capital Medical University, Beijing 100069, China

Abstract

Abstract Essential genes are key elements for organisms to maintain their living. Building databases that store essential genes in the form of homologous clusters, rather than storing them as a singleton, can provide more enlightening information such as the general essentiality of homologous genes in multiple organisms. In 2013, the first database to store prokaryotic essential genes in clusters, CEG (Clusters of Essential Genes), was constructed. Afterward, the amount of available data for essential genes increased by a factor >3 since the last revision. Herein, we updated CEG to version 2, including more prokaryotic essential genes (from 16 gene datasets to 29 gene datasets) and newly added eukaryotic essential genes (nine species), specifically the human essential genes of 12 cancer cell lines. For prokaryotes, information associated with drug targets, such as protein structure, ligand–protein interaction, virulence factor and matched drugs, is also provided. Finally, we provided the service of essential gene prediction for both prokaryotes and eukaryotes. We hope our updated database will benefit more researchers in drug targets and evolutionary genomics. Database URL: http://cefg.uestc.cn/ceg

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

the national key research and development program

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

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