The National Center for Biotechnology Information's Protein Clusters Database

被引：212

作者：

Klimke, William ^{[1
]}

Agarwala, Richa ^{[1
]}

Badretdin, Azat ^{[1
]}

Chetvernin, Slava ^{[1
]}

Ciufo, Stacy ^{[1
]}

Fedorov, Boris ^{[1
]}

Kiryutin, Boris ^{[1
]}

O'Neill, Kathleen ^{[1
]}

Resch, Wolfgang ^{[1
]}

Resenchuk, Sergei ^{[1
]}

Schafer, Susan ^{[1
]}

Tolstoy, Igor ^{[1
]}

Tatusova, Tatiana ^{[1
]}

机构：

[1] Natl Lib Med, Natl Ctr Biotechnol Informat, NIH, Dept Hlth & Human Serv, Bethesda, MD 20894 USA

来源：

NUCLEIC ACIDS RESEARCH | 2009年 / 37卷

基金：

美国国家卫生研究院;

关键词：

ESCHERICHIA-COLI K-12; METABOLIC PATHWAYS; SEQUENCE DATABASE; GENOME; RESOURCES; FAMILIES; KEGG;

D O I：

10.1093/nar/gkn734

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Rapid increases in DNA sequencing capabilities have led to a vast increase in the data generated from prokaryotic genomic studies, which has been a boon to scientists studying micro-organism evolution and to those who wish to understand the biological underpinnings of microbial systems. The NCBI Protein Clusters Database (ProtClustDB) has been created to efficiently maintain and keep the deluge of data up to date. ProtClustDB contains both curated and uncurated clusters of proteins grouped by sequence similarity. The May 2008 release contains a total of 285 386 clusters derived from over 1.7 million proteins encoded by 3806 nt sequences from the RefSeq collection of complete chromosomes and plasmids from four major groups: prokaryotes, bacteriophages and the mitochondrial and chloroplast organelles. There are 7180 clusters containing 376 513 proteins with curated gene and protein functional annotation. PubMed identifiers and external cross references are collected for all clusters and provide additional information resources. A suite of web tools is available to explore more detailed information, such as multiple alignments, phylogenetic trees and genomic neighborhoods. ProtClustDB provides an efficient method to aggregate gene and protein annotation for researchers and is available at http://www.ncbi.nlm.nih.gov/sites/entrez?db=proteinclusters.

引用

页码：D216 / D223

页数：8

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