The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
THPdb: Database of FDA-approved peptide and protein therapeutics
Open accessAbstract
THPdb (http://crdd.osdd.net/raghava/thpdb/) is a manually curated repository of Food and Drug Administration (FDA) approved therapeutic peptides and proteins. The information in THPdb has been compiled from 985 research publications, 70 patents and other resources like DrugBank. The current version of the database holds a total of 852 entries, providing comprehensive information on 239 US-FDA approved therapeutic peptides and proteins and their 380 drug variants. The information on each peptide and protein includes their sequences, chemical properties, composition, disease area, mode of activity, physical appearance, category or pharmacological class, pharmacodynamics, route of administration, toxicity, target of activity, etc. In addition, we have annotated the structure of most of the protein and peptides. A number of user-friendly tools have been integrated to facilitate easy browsing and data analysis. To assist scientific community, a web interface and mobile App have also been developed.
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Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Identification of common molecular subsequences
Smith, T. F., & Waterman, M. S. (1981) · Journal of Molecular Biology · doi:10.1016/0022-2836(81)90087-5 · Cited by 9,940
The I-TASSER Suite: protein structure and function prediction
Yang, J., Yan, R., Roy, A., Xu, D., Poisson, J., & Zhang, Y. (2015) · Nature Methods · doi:10.1038/nmeth.3213 · Cited by 5,596
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Gaulton, A., Bellis, L. J., Bento, A. P., Chambers, J., Davies, M., Hersey, A., Light, Y., McGlinchey, S., Michalovich, D., Al-Lazikani, B., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr777 · Cited by 4,382
Peptide therapeutics: current status and future directions
Fosgerau, K., & Hoffmann, T. (2015) · Drug Discovery Today · doi:10.1016/j.drudis.2014.10.003 · Cited by 3,030
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Leader, B., Baca, Q. J., & Golan, D. E. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2399 · Cited by 2,161
DrugBank 4.0: shedding new light on drug metabolism
Law, V., Knox, C., Djoumbou, Y., Jewison, T., Guo, A. C., Liu, Y., Maciejewski, A., Arndt, D., Wilson, M., Neveu, V., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1068 · Cited by 1,993
The Future of Peptide‐based Drugs
Craik, D. J., Fairlie, D. P., Liras, S., & Price, D. (2013) · Chemical Biology & Drug Design · doi:10.1111/cbdd.12055 · Cited by 1,979
Synthetic therapeutic peptides: science and market
Vlieghe, P., Lisowski, V., Martinez, J., & Khrestchatisky, M. (2010) · Drug Discovery Today · doi:10.1016/j.drudis.2009.10.009 · Cited by 1,476
Expression in Escherichia coli of chemically synthesized genes for human insulin.
Goeddel, D. V., Kleid, D. G., Bolivar, F., Heyneker, H. L., Yansura, D. G., Crea, R., Hirose, T., Kraszewski, A., Itakura, K., & Riggs, A. D. (1979) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.76.1.106 · Cited by 869
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Metadata
- Authors
- Usmani, S. S., Bedi, G., Samuel, J. S., Singh, S., Kalra, S., Kumar, P., Ahuja, A. A., Sharma, M., Gautam, A., & Raghava, G. P. S.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-07-31
- Volume
- 12
- Issue
- 7
- Pages
- e0181748
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2739980134
- Cited by
- 485
- References
- 27
- FWCI
- 33.10
- Type
- journal article
- Language
- en
- Open access
- gold
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- Usmani, S. S., Bedi, G., Samuel, J. S., Singh, S., Kalra, S., Kumar, P., Ahuja, A. A., Sharma, M., Gautam, A., & Raghava, G. P. S. (2017). THPdb: Database of FDA-approved peptide and protein therapeutics. PLOS ONE. https://doi.org/10.1371/journal.pone.0181748
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