Paper Info
Title
Sentra: a database of signal transduction proteins for comparative genome analysis.
Abstract
Sentra (http://compbio.mcs.anl.gov/sentra), a database of signal transduction proteins encoded in completely sequenced prokaryotic genomes, has been updated to reflect recent advances in understanding signal transduction events on a whole-genome scale. Sentra consists of two principal components, a manually curated list of signal transduction proteins in 202 completely sequenced prokaryotic genomes and an automatically generated listing of predicted signaling proteins in 235 sequenced genomes that are awaiting manual curation. In addition to two-component histidine kinases and response regulators, the database now lists manually curated Ser/Thr/Tyr protein kinases and protein phosphatases, as well as adenylate and diguanylate cyclases and c-di-GMP phosphodiesterases, as defined in several recent reviews. All entries in Sentra are extensively annotated with relevant information from public databases (e.g. UniProt, KEGG, PDB and NCBI). Sentra's infrastructure was redesigned to support interactive cross-genome comparisons of signal transduction capabilities of prokaryotic organisms from a taxonomic and phenotypic perspective and in the framework of signal transduction pathways from KEGG. Sentra leverages the PUMA2 system to support interactive analysis and annotation of signal transduction proteins by the users.
Year
DOI
Venue
2007
10.1093/nar/gkl949
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
protein kinase,comparative genomics,nucleic,signal transduction pathway,principal component,phosphodiesterase,genomics,internet,protein phosphatase,histidine kinase,signal transduction
Genome,Annotation,Interactive analysis,Biology,UniProt,KEGG,Genomics,Signal transduction,Genetics,Protein Data Bank (RCSB PDB),Database
Journal
Volume
Issue
ISSN
35
Database-Issue
0305-1048
Citations 
PageRank 
References 
5
0.46
6
Authors
7
Name
Order
Citations
PageRank
Mark D'Souza1232.22
Elizabeth M Glass2554.38
Mustafa H. Syed3252.69
Yi Zhang4252.30
Alexis A. Rodriguez5292.86
N Maltsev623958.35
Michael Y. Galperin7809180.44