Database Commons
Database Commons

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General information

URL: http://tubic.org/CoVdb/public/index.php
Full name:
Description: an updated database of annotated protein-coding genes and proteinase cleavage sites in thousands of coronavirus genomes
Year founded: 2003
Last update: Jan 27, 2020
Version:
Accessibility:
Manual:
Accessible
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Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Tianjin University
Address: School of Science, Tianjin University, 300072 No. 92 Weijin Road, Nankai District, Tianjin, China
City: Tianjin
Province/State: Tianjin
Country/Region: China
Contact name (PI/Team): Feng Gao
Contact email (PI/Helpdesk): fgao@tju.edu.cn

Publications

12859968
ZCURVE_CoV: a new system to recognize protein coding genes in coronavirus genomes, and its applications in analyzing SARS-CoV genomes. [PMID: 12859968]
Chen LL, Ou HY, Zhang R, Zhang CT.

A new system to recognize protein coding genes in the coronavirus genomes, specially suitable for the SARS-CoV genomes, has been proposed in this paper. Compared with some existing systems, the new program package has the merits of simplicity, high accuracy, reliability, and quickness. The system ZCURVE_CoV has been run for each of the 11 newly sequenced SARS-CoV genomes. Consequently, six genomes not annotated previously have been annotated, and some problems of previous annotations in the remaining five genomes have been pointed out and discussed. In addition to the polyprotein chain ORFs 1a and 1b and the four genes coding for the major structural proteins, spike (S), small envelop (E), membrane (M), and nuleocaspid (N), respectively, ZCURVE_CoV also predicts 5-6 putative proteins in length between 39 and 274 amino acids with unknown functions. Some single nucleotide mutations within these putative coding sequences have been detected and their biological implications are discussed. A web service is provided, by which a user can obtain the annotated result immediately by pasting the SARS-CoV genome sequences into the input window on the web site (http://tubic.tju.edu.cn/sars/). The software ZCURVE_CoV can also be downloaded freely from the web address mentioned above and run in computers under the platforms of Windows or Linux.

Biochem Biophys Res Commun. 2003:307(2) | 22 Citations (from Europe PMC, 2024-04-06)

Ranking

All databases:
4153/6000 (30.8%)
Gene genome and annotation:
1201/1675 (28.358%)
4153
Total Rank
22
Citations
1.048
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Record metadata

Created on: 2020-09-06
Curated by:
Ruru Chen [2020-11-28]
Dong Zou [2020-09-06]