The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The Transporter Classification Database (TCDB): recent advances
Open accessAbstract
The Transporter Classification Database (TCDB; http://www.tcdb.org) is a freely accessible reference database for transport protein research, which provides structural, functional, mechanistic, evolutionary and disease/medical information about transporters from organisms of all types. TCDB is the only transport protein classification database adopted by the International Union of Biochemistry and Molecular Biology (IUBMB). It consists of more than 10,000 non-redundant transport systems with more than 11 000 reference citations, classified into over 1000 transporter families. Transporters in TCDB can be single or multi-component systems, categorized in a functional/phylogenetic hierarchical system of classes, subclasses, families, subfamilies and transport systems. TCDB also includes updated software designed to analyze the distinctive features of transport proteins, extending its usefulness. Here we present a comprehensive update of the database contents and features and summarize recent discoveries recorded in TCDB.
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Citations
Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
Katoh, K., & Standley, D. M. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst010 · Cited by 46,209
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395
Pao, S. S., Paulsen, I. T., & Saier, M. H. (1998) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.62.1.1-34.1998 · Cited by 2,297
Self-citationNCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy
Pruitt, K. D., Tatusova, T., Brown, G. R., & Maglott, D. R. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1079 · Cited by 1,149 · cited 1×
“conserved domains KEGG (31) & BioCyc (32) These resources allow transport systems to be linked with metabolomics data EggNOG (33) Multiple alignments and phylogenetic trees containing a protein of interest can be viewed RefSeq (34) Information about a gene source is provided with comments and references”
BackgroundZhai, Y., Heijne, W. H. M., Smith, D. W., & Saier, M. H. (2001) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/s0005-2736(00)00389-8 · Cited by 75
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Gaulton, A., Hersey, A., Nowotka, M., Bento, A. P., Chambers, J., Mendez, D., Mutowo, P., Atkinson, F., Bellis, L. J., Cibrián-Uhalte, E., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1074 · Cited by 2,330
Mi, H., Ebert, D., Muruganujan, A., Mills, C., Albou, L.-P., Mushayamaha, T., & Thomas, P. D. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1106 · Cited by 1,332
IMG: the integrated microbial genomes database and comparative analysis system
Markowitz, V. M., Chen, I.-M. A., Palaniappan, K., Chu, K., Szeto, E., Grechkin, Y., Ratner, A., Jacob, B., Huang, J., Williams, P., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1044 · Cited by 1,311
Li, W., O’Neill, K. R., Haft, D. H., DiCuccio, M., Chetvernin, V., Badretdin, A., Coulouris, G., Chitsaz, F., Derbyshire, M. K., Durkin, A. S., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1105 · Cited by 1,116
Probiotics, gut microbiota, and their influence on host health and disease
Sánchez, B., Delgado, S., Blanco‐Míguez, A., Lourenço, A., Gueimonde, M., & Margolles, A. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201600240 · Cited by 1,104
Metadata
- Authors
- Saier, M. H., Reddy, V. S., Tsu, B. V., Ahmed, M. S., Li, C., & Moreno-Hagelsieb, G.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-11-05
- Volume
- 44
- Issue
- D1
- Pages
- D372-D379
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2114347076
- Cited by
- 999
- References
- 7
- FWCI
- 28.21
- Type
- journal article
- Language
- en
- Open access
- gold
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- Saier, M. H., Reddy, V. S., Tsu, B. V., Ahmed, M. S., Li, C., & Moreno-Hagelsieb, G. (2016). The Transporter Classification Database (TCDB): recent advances. Nucleic Acids Research. https://doi.org/10.1093/nar/gkv1103
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