Journal article
TSdb: A database of transporter substrates linking metabolic pathways and transporter systems on a genome scale via their shared substrates
Science China Life Sciences, Vol.54(1), pp.60-64
2011
Abstract
TSdb (http://tsdb. cbi. pku. edu. cn) is the first manually curated central repository that stores formatted information on the substrates of transporters. In total, 37608 transporters with 15075 substrates from 884 organisms were curated from UniProt functional annotation. A unique feature of TSdb is that all the substrates are mapped to identifiers from the KEGG Ligand compound database. Thus, TSdb links current metabolic pathway schema with compound transporter systems via the shared compounds in the pathways. Furthermore, all the transporter substrates in TSdb are classified according to their biochemical properties, biological roles and subcellular localizations. In addition to the functional annotation of transporters, extensive compound annotation that includes inhibitor information from the KEGG Ligand and BRENDA databases has been integrated, making TSdb a useful source for the discovery of potential inhibitory mechanisms linking transporter substrates and metabolic enzymes. User-friendly web interfaces are designed for easy access, query and download of the data. Text and BLAST searches against all transporters in the database are provided. We will regularly update the substrate data with evidence from new publications. © 2011 Science China Press and Springer-Verlag Berlin Heidelberg.
Details
- Title
- TSdb: A database of transporter substrates linking metabolic pathways and transporter systems on a genome scale via their shared substrates
- Authors
- Min Zhao (Author) - Peking University, ChinaY M Chen (Author) - Peking University, ChinaD Qu (Author) - Peking University, ChinaH Qu (Author) - Peking University, China
- Publication details
- Science China Life Sciences, Vol.54(1), pp.60-64
- Publisher
- Zhongguo Kexue Zazhishe [Science China Press]
- Date published
- 2011
- DOI
- 10.1007/s11427-010-4125-y
- ISSN
- 1674-7305
- Copyright note
- Copyright © The Author(s) 2011. This article is published with open access at Springerlink.com. Reproduced here with permission.
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99449206002621
- Output Type
- Journal article
Metrics
456 File views/ downloads
583 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Biology
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites