2016
DOI: 10.1093/nar/gkw1068
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TransportDB 2.0: a database for exploring membrane transporters in sequenced genomes from all domains of life

Abstract: All cellular life contains an extensive array of membrane transport proteins. The vast majority of these transporters have not been experimentally characterized. We have developed a bioinformatic pipeline to identify and annotate complete sets of transporters in any sequenced genome. This pipeline is now fully automated enabling it to better keep pace with the accelerating rate of genome sequencing. This manuscript describes TransportDB 2.0 (http://www.membranetransport.org/transportDB2/), a completely updated… Show more

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Cited by 259 publications
(229 citation statements)
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References 21 publications
(26 reference statements)
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“…Transport protein predictions were made using the Transporter Automated Annotation Pipeline (TransAAP [53]) to identify putative Zn and Cu transporters. Where orthologous/paralogous efflux transporters were identified between/within strains, genetic maps demonstrating the conservation of their coding gene and surrounding genes were generated using the Easyfig tool [54].…”
Section: Methodsmentioning
confidence: 99%
“…Transport protein predictions were made using the Transporter Automated Annotation Pipeline (TransAAP [53]) to identify putative Zn and Cu transporters. Where orthologous/paralogous efflux transporters were identified between/within strains, genetic maps demonstrating the conservation of their coding gene and surrounding genes were generated using the Easyfig tool [54].…”
Section: Methodsmentioning
confidence: 99%
“…The latest version of transportDB [64] http://www.membranetransport.org/transportDB2/overview.html, the most comprehensive listing, gives 341 transporters for S. cerevisiae S288c, and shows that improvements in identification have been less than substantial. In general, the efflux transporters seem to have evolved to remove natural toxins from the yeast's environment [65,66], are highly promiscuous [67,68], and many are known as pleiotropic drug transporters (PDRs) [69].…”
Section: A Large Percentage Of Orphans Even In Well-studied Organismsmentioning
confidence: 99%
“…The genome-scale metabolic network reconstruction for K. marxianus DMKU3-1042 was based on published genome annotation (NCBI accession PRJDA65233) and other databases including KEGG [14], MetaCyc [15], TransportDB [16] and BRENDA [17]. Two draft models were generated using the RAVEN Toolbox [18].…”
Section: Model Reconstructionmentioning
confidence: 99%
“…The draft model was then thoroughly curated for gene associations, EC numbers, metabolite names, reactions elemental/charge balance. Here we considered Yeast 7.6 [22], BRENDA [17] and MetaCyc [15], TransportDB [16] as reference. The additional information for every reaction is included in Additional file 2 (the list of reactions, followed by the column which state from in which step it was added).…”
Section: Manual Curationmentioning
confidence: 99%