The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
CancerPPD: a database of anticancer peptides and proteins
Open accessAbstract
CancerPPD (http://crdd.osdd.net/raghava/cancerppd/) is a repository of experimentally verified anticancer peptides (ACPs) and anticancer proteins. Data were manually collected from published research articles, patents and from other databases. The current release of CancerPPD consists of 3491 ACP and 121 anticancer protein entries. Each entry provides comprehensive information related to a peptide like its source of origin, nature of the peptide, anticancer activity, N- and C-terminal modifications, conformation, etc. Additionally, CancerPPD provides the information of around 249 types of cancer cell lines and 16 different assays used for testing the ACPs. In addition to natural peptides, CancerPPD contains peptides having non-natural, chemically modified residues and D-amino acids. Besides this primary information, CancerPPD stores predicted tertiary structures as well as peptide sequences in SMILES format. Tertiary structures of peptides were predicted using the state-of-art method, PEPstr and secondary structural states were assigned using DSSP. In order to assist users, a number of web-based tools have been integrated, these include keyword search, data browsing, sequence and structural similarity search. We believe that CancerPPD will be very useful in designing peptide-based anticancer therapeutics.
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Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
The Amber biomolecular simulation programs
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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Self-citationI-TASSER server for protein 3D structure prediction
Zhang, Y. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-40 · Cited by 5,124
Cancer drug resistance: an evolving paradigm
Holohan, C., Van Schaeybroeck, S., Longley, D. B., & Johnston, P. G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3599 · Cited by 4,681
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“A SMILES string is a simple gridlike (1-D grid) structure that can represent molecular sequences such as DNA, macromolecules/polymers, protein sequences also [140, 141].”
BackgroundBIOPEP-UWM Database of Bioactive Peptides: Current Opportunities
Minkiewicz, P., Iwaniak, A., & Darewicz, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20235978 · Cited by 958
THPdb: Database of FDA-approved peptide and protein therapeutics
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) · PLOS ONE · doi:10.1371/journal.pone.0181748 · Cited by 485
Self-citationCicero, A. F. G., Fogacci, F., & Colletti, A. (2017) · British Journal of Pharmacology · doi:10.1111/bph.13608 · Cited by 317
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
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Metadata
- Authors
- Tyagi, A., Tuknait, A., Anand, P., Gupta, S., Sharma, M., Mathur, D., Joshi, A., Singh, S., Gautam, A., & Raghava, G. P. S.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-09-30
- Volume
- 43
- Issue
- D1
- Pages
- D837-D843
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2099153308
- Cited by
- 397
- References
- 5
- FWCI
- 9.75
- Type
- journal article
- Language
- en
- Open access
- gold
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- Tyagi, A., Tuknait, A., Anand, P., Gupta, S., Sharma, M., Mathur, D., Joshi, A., Singh, S., Gautam, A., & Raghava, G. P. S. (2015). CancerPPD: a database of anticancer peptides and proteins. Nucleic Acids Research. https://doi.org/10.1093/nar/gku892
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