The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database
Open accessAbstract
The PharmMapper online tool is a web server for potential drug target identification by reversed pharmacophore matching the query compound against an in-house pharmacophore model database. The original version of PharmMapper includes more than 7000 target pharmacophores derived from complex crystal structures with corresponding protein target annotations. In this article, we present a new version of the PharmMapper web server, of which the backend pharmacophore database is six times larger than the earlier one, with a total of 23 236 proteins covering 16 159 druggable pharmacophore models and 51 431 ligandable pharmacophore models. The expanded target data cover 450 indications and 4800 molecular functions compared to 110 indications and 349 molecular functions in our last update. In addition, the new web server is united with the statistically meaningful ranking of the identified drug targets, which is achieved through the use of standard scores. It also features an improved user interface. The proposed web server is freely available at http://lilab.ecust.edu.cn/pharmmapper/.
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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
ChEMBL: a large-scale bioactivity database for drug discovery
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
The PDBbind database: methodologies and updates
Wang, R., Fang, X., Lu, Y., Yang, C.-Y., & Wang, S. (2005) · Journal of Medicinal Chemistry · doi:10.1021/jm048957q · Cited by 933
Self-citation
Cited by
Next generation 3D pharmacophore modeling
Schaller, D., Šribar, D., Noonan, T., Deng, L., Nguyen, T. N., Pach, S., Machalz, D., Bermudez, M., & Wolber, G. (2020) · WIREs Computational Molecular Science · doi:10.1002/wcms.1468 · Cited by 269
Li, X., Qin, X.-M., Tian, J.-S., Gao, X.-X., Du, G.-H., & Zhou, Y.-Z. (2021) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2020.113281 · Cited by 92
Guo, G., & Dong, J. (2022) · Bioengineered · doi:10.1080/21655979.2022.2068755 · Cited by 17
Li, J., Dou, L., Chen, S., Zhou, H., & Mou, F. (2021) · Pharmaceutical Biology · doi:10.1080/13880209.2021.1995005 · Cited by 10
Goldiș, C., Racoviceanu, R., Negrea-Ghiulai, R., Mioc, A., Prodea, A., Atyim, E., Maksimovic, T., Lukinich-Gruia, A. T., Pricop, M.-A., & Șoica, C. (2026) · Molecules · doi:10.3390/molecules31183337
Metadata
- Authors
- Wang, X., Shen, Y., Wang, S., Li, S., Zhang, W., Liu, X., Lai, L., Pei, J., & Li, H.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-05-03
- Volume
- 45
- Issue
- W1
- Pages
- W356-W360
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2611425558
- Cited by
- 1,588
- References
- 3
- FWCI
- 37.89
- Type
- journal article
- Language
- en
- Open access
- gold
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