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ExPASy: the proteomics server for in-depth protein knowledge and analysis
Open accessAbstract
The ExPASy (the Expert Protein Analysis System) World Wide Web server (http://www.expasy.org), is provided as a service to the life science community by a multidisciplinary team at the Swiss Institute of Bioinformatics (SIB). It provides access to a variety of databases and analytical tools dedicated to proteins and proteomics. ExPASy databases include SWISS-PROT and TrEMBL, SWISS-2DPAGE, PROSITE, ENZYME and the SWISS-MODEL repository. Analysis tools are available for specific tasks relevant to proteomics, similarity searches, pattern and profile searches, post-translational modification prediction, topology prediction, primary, secondary and tertiary structure analysis and sequence alignment. These databases and tools are tightly interlinked: a special emphasis is placed on integration of database entries with related resources developed at the SIB and elsewhere, and the proteomics tools have been designed to read the annotations in SWISS-PROT in order to enhance their predictions. ExPASy started to operate in 1993, as the first WWW server in the field of life sciences. In addition to the main site in Switzerland, seven mirror sites in different continents currently serve the user community.
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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
PROSITE: a documented database using patterns and profiles as motif descriptors
Sigrist, C. J. A. (2002) · Briefings in Bioinformatics · doi:10.1093/bib/3.3.265 · Cited by 913 · cited 1×
“� PROSITE (6, 7 ) (http://www.expasy.org/prosite/) is a database of protein domains and families.”
Background
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Zimmermann, L., Stephens, A., Nam, S.-Z., Rau, D., Kübler, J., Lozajic, M., Gabler, F., Söding, J., Lupas, A. N., & Alva, V. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2017.12.007 · Cited by 2,522
ExPASy: SIB bioinformatics resource portal
Artimo, P., Jonnalagedda, M., Arnold, K., Baratin, D., Csardi, G., de Castro, E., Duvaud, S., Flegel, V., Fortier, A., Gasteiger, E., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks400 · Cited by 2,266
Self-citationde Castro, E., Sigrist, C. J. A., Gattiker, A., Bulliard, V., Langendijk-Genevaux, P. S., Gasteiger, E., Bairoch, A., & Hulo, N. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl124 · Cited by 1,686
Self-citationDundas, J., Ouyang, Z., Tseng, J., Binkowski, A., Turpaz, Y., & Liang, J. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl282 · Cited by 1,725
The BioPAX community standard for pathway data sharing
Demir, E., Cary, M. P., Paley, S., Fukuda, K., Lemer, C., Vastrik, I., Wu, G., D'Eustachio, P., Schaefer, C., Luciano, J., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1666 · Cited by 745
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Patel, S., Homaei, A., El-Seedi, H. R., & Akhtar, N. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.05.148 · Cited by 224
Torruella, G., Derelle, R., Paps, J., Lang, B. F., Roger, A. J., Shalchian-Tabrizi, K., & Ruiz-Trillo, I. (2012) · Molecular Biology and Evolution · doi:10.1093/molbev/msr185 · Cited by 169
VanAernum, Z. L., Busch, F., Jones, B. J., Jia, M., Chen, Z., Boyken, S. E., Sahasrabuddhe, A., Baker, D., & Wysocki, V. H. (2020) · Nature Protocols · doi:10.1038/s41596-019-0281-0 · Cited by 169
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Kajava, A. V., & Steven, A. C. (2006) · Advances in Protein Chemistry · doi:10.1016/s0065-3233(06)73003-0 · Cited by 149
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Grandin, M., Meier, M., Delcros, J. G., Nikodemus, D., Reuten, R., Patel, T. R., Goldschneider, D., Orriss, G., Krahn, N., Boussouar, A., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.01.001 · Cited by 128
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Du, D., Zhang, Q., Cheng, T., Pan, H., Yang, W., & Sun, L. (2013) · Molecular Biology Reports · doi:10.1007/s11033-012-2250-3 · Cited by 111
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Gifford, R., Kehoe, J. J., Barnes, S. L., Kornilayev, B. A., Alterman, M. A., & Wilson, G. S. (2006) · Biomaterials · doi:10.1016/j.biomaterials.2005.11.033 · Cited by 117
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Bordbar, A., & Palsson, B. O. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2011.02494.x · Cited by 115
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Ravikrishnan, A., & Raman, K. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv003 · Cited by 87
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Cheng, K. C., Beaulieu, J., Iquira, E., Belzile, F. J., Fortin, M. G., & Strömvik, M. V. (2008) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf073505i · Cited by 76
Brännström, K., Öhman, A., Nilsson, L., Pihl, M., Sandblad, L., & Olofsson, A. (2014) · Journal of the American Chemical Society · doi:10.1021/ja503535m · Cited by 74
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“ch/; [17]), if Swiss-Prot accessions are available.”
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Barker, A., Epis, M. R., Porter, C. J., Hopkins, B. R., Wilce, M. C. J., Wilce, J. A., Giles, K. M., & Leedman, P. J. (2012) · The Journal of Biochemistry · doi:10.1093/jb/mvs010 · Cited by 59
Lionaki, E., Gkikas, I., Daskalaki, I., Ioannidi, M.-K., Klapa, M. I., & Tavernarakis, N. (2022) · Nature Communications · doi:10.1038/s41467-022-28272-1 · Cited by 56
Kumar, S., Karuppanan, K., & Subramaniam, G. (2022) · doi:10.1101/2022.02.11.480029 · Cited by 223
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Shinn, M. K., Tomares, D. T., Liu, V., Pant, A., Qiu, Y., Vitalis, A., Song, Y. J., Ayala, Y., Ruff, K. M., Strout, G. W., et al. (2026) · Cell · doi:10.1016/j.cell.2025.11.026 · Cited by 38
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Macauley, M. S., Errington, W. J., Schärpf, M., Mackereth, C. D., Blaszczak, A. G., Graves, B. J., & McIntosh, L. P. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m510488200 · Cited by 36
Eswarappa, S. M., Karnam, G., Nagarajan, A. G., Chakraborty, S., & Chakravortty, D. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005789 · Cited by 36
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Hu, J. J., Lee, J. K. J., Liu, Y.-T., Yu, C., Huang, L., Aphasizheva, I., Aphasizhev, R., & Zhou, Z. H. (2023) · Structure · doi:10.1016/j.str.2022.11.015 · Cited by 29
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Sun, Y., Florio, T. J., Gupta, S., Young, M. C., Marshall, Q. F., Garfinkle, S. E., Papadaki, G. F., Truong, H. V., Mycek, E., Li, P., et al. (2023) · Science Immunology · doi:10.1126/sciimmunol.adj5792 · Cited by 19
Omics‐prediction of bioactive peptides from the edible cyanobacterium Arthrospira platensis proteome
Ji, C., Han, J., Zhang, J., Hu, J., Fu, Y., Qi, H., Sun, Y., & Yu, C. (2018) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.8546 · Cited by 15
Jeter, V. L., Mattes, T. A., Beattie, N. R., & Escalante-Semerena, J. C. (2019) · Biochemistry · doi:10.1021/acs.biochem.8b01253 · Cited by 15
Investigation into host selection of the cecal acetogen population in rabbits after weaning.
Yang, C., Mi, L., Hu, X., Liu, J., & Wang, J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0158768 · Cited by 15
Ramirez, M. D., Bui, T. N., & Katz, P. S. (2024) · Journal of Comparative Neurology · doi:10.1002/cne.25628 · Cited by 10
Ferrero, E., Di Gregorio, E., Ferrero, M., Ortolan, E., Moon, Y.-A., Di Campli, A., Pavinato, L., Mancini, C., Tripathy, D., Manes, M., et al. (2023) · Human Genetics · doi:10.1007/s00439-023-02572-y · Cited by 9
Akhtar, A., Lata, M., Sunsunwal, S., Yadav, A., LNU, K., Subramanian, S., & Ramya, T. N. C. (2023) · Communications Biology · doi:10.1038/s42003-023-04718-0 · Cited by 9
Shin, Y.-C., Plummer-Medeiros, A. M., Mungenast, A., Choi, H.-W., TenDyke, K., Zhu, X., Shepard, J., Sanders, K., Zhuang, N., Hu, L., et al. (2024) · Science Advances · doi:10.1126/sciadv.adn6037 · Cited by 7
Hayashi, R., Kamata, K., Gerdol, M., Fujii, Y., Hayashi, T., Onoda, Y., Kobayashi, N., Furushima, S., Ishiwata, R., Ohkawa, M., et al. (2024) · Marine Drugs · doi:10.3390/md22090400 · Cited by 7
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Wang, X., Zhou, J., Mueller, J., Quinn, D., Carvalho, A., Moody, T. S., & Huang, M. (2025) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.4c01391 · Cited by 7
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Hassan, N. T., Van Treeck, B., Rodríguez-Vargas, A., Sheppard, A. E., Collins, K., & Adelson, D. L. (2026) · Genome Biology · doi:10.1186/s13059-026-04073-3 · Cited by 5
Pillai, V. N., Ali, L. M., Prabhu, S. G., Krishnan, A., Tariq, S., Mustafa, F., & Rizvi, T. A. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e12892 · Cited by 4
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Hoffnagle, A. M., Srisantitham, S., Neeley, M., Tsai, C.-Y., & Tezcan, F. A. (2025) · Biochemistry · doi:10.1021/acs.biochem.5c00259 · Cited by 4
Metadata
- Authors
- Gasteiger, E.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-07-01
- Volume
- 31
- Issue
- 13
- Pages
- 3784-3788
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2137450588
- Cited by
- 5,595
- References
- 2
- FWCI
- 42.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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