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The Transporter Classification Database

delete2013-11-12
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OA
AI
M
Milton H. Saier *
V
Vamsee Reddy
D
Dorjee G. Tamang
Å
Åke Västermark
DOI:10.1093/nar/gkt1097delete
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Abstract

Abstract

En 中文
The Transporter Classification Database (TCDB; http://www.tcdb.org) serves as a common reference point for transport protein research. The database contains more than 10 000 non-redundant proteins that represent all currently recognized families of transmembrane molecular transport systems. Proteins in TCDB are organized in a five level hierarchical system, where the first two levels are the class and subclass, the second two are the family and subfamily, and the last one is the transport system. Superfamilies that contain multiple families are included as hyperlinks to the five tier TC hierarchy. TCDB includes proteins from all types of living organisms and is the only transporter classification system that is both universal and recognized by the International Union of Biochemistry and Molecular Biology. It has been expanded by manual curation, contains extensive text descriptions providing structural, functional, mechanistic and evolutionary information, is supported by unique software and is interconnected to many other relevant databases. TCDB is of increasing usefulness to the international scientific community and can serve as a model for the expansion of database technologies. This manuscript describes an update of the database descriptions previously featured in NAR database issues.
Keywords:
WEB-BASED PROGRAM
BIOINFORMATIC CHARACTERIZATION
PHYLOGENETIC CHARACTERIZATION
TRANSMEMBRANE TOPOLOGY
PROTEIN
PREDICTION
RESOURCE
SYSTEM
GENOME
AMPHIPATHICITY
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nucleic Acids Research cover
Nucleic Acids Research
IF:
13.1
Papers:
3.6W
Citations:
29.0W

Organization

University of California System cover
University of California System
Scholars:
37.7W
Papers: 33.8W
Citations: 6.6K
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