Protein localization prediction

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The protein subcellular localization prediction includes biochemical and bioinformatics methods for the determination of the target compartment of a protein .

properties

In eukaryotes, proteins are often sorted on the basis of their signal sequences after their production in the cytosol and supplied to their destination. The target location can be a cellular compartment such as the cell nucleus , the endoplasmic reticulum , the mitochondria , possibly the chloroplasts , the peroxisomes , or it can be outside the cell (in the case of exocytosis and secretion ).

In prokaryotes , proteins are transported or secreted into the periplasm , among other things .

The localization of a protein can be determined experimentally by fluorescence microscopy or by protein sequencing (based on the signal sequences); it can also be predicted in silico bioinformatically.

Methods

The characteristic predictors depend on the respective species . Below are some methods for predicting protein localization:

Applications

Prediction of the localization of proteins is used in biochemistry and biotechnology in the generation of secreted recombinant proteins . In pharmacology , secreted proteins and membrane proteins are often targets in a drug design . Proteins with incorrect localization can be found in cancer and Alzheimer's disease , among others .

literature

Web links

Individual evidence

  1. Rey S, Gardy JL, Brinkman FS: Assessing the precision of high-throughput computational and laboratory approaches for the genome-wide identification of protein subcellular localization in bacteria . In: BMC Genomics . 6, 2005, p. 162. doi : 10.1186 / 1471-2164-6-162 . PMID 16288665 . PMC 1314894 (free full text).
  2. a b Chou KC, Shen HB: Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms (updated version: Cell-PLoc 2.0: An improved package of web servers for predicting subcellular localization of proteins in various organisms, Natural Science, 2010, 2, 1090-1103) . In: Nat Protoc . 3, No. 2, 2008, pp. 153-62. doi : 10.1038 / nprot.2007.494 . PMID 18274516 .
  3. Chou, KC; Wu, ZC; Xiao, X. iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins, PLoS ONE, 2011, 6, e18258.
  4. Shen HB, Chou KC: A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0 . In: Anal. Biochem. . 394, No. 2, November 2009, pp. 269-74. doi : 10.1016 / year from 2009.07.046 . PMID 19651102 .
  5. Chou KC, Shen HB: Plant-mPLoc: a top-down strategy to augment the power for predicting plant protein subcellular localization . In: PLoS ONE . 5, No. 6, 2010, p. E11335. doi : 10.1371 / journal.pone.0011335 . PMID 20596258 . PMC 2893129 (free full text).
  6. Gardy JL, Brinkman FS: Methods for predicting bacterial protein subcellular localization . In: Nat. Rev. Microbiol. . 4, No. 10, October 2006, pp. 741-51. doi : 10.1038 / nrmicro1494 . PMID 16964270 .
  7. Nakai, K. Protein sorting signals and prediction of subcellular localization. Adv. Protein Chem., 2000, 54, 277-344.
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  10. Yu CS, Lin CJ, Hwang JK: Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions . In: Protein Sci. . 13, No. 5, May 2004, pp. 1402-6. doi : 10.1110 / ps.03479604 . PMID 15096640 . PMC 2286765 (free full text).
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  12. Nagarajan Paramasivam, Dirk Linke: ClubSub-P is a database of cluster-based subcellular localization (SCL) predictions for Archaea and Gram negative bacteria . In: Frontiers in Microbiology . 2, 2011. doi : 10.3389 / fmicb.2011.00218 . PMID 22073040 .
  13. Chou KC, Shen HB: A new method for predicting the subcellular localization of eukaryotic proteins with both single and multiple sites: Euk-mPLoc 2.0 . In: PLoS ONE . 5, No. 4, 2010, p. E9931. doi : 10.1371 / journal.pone.0009931 . PMID 20368981 . PMC 2848569 (free full text).
  14. Goudenège D, Avner S, Lucchetti-Miganeh C, Barloy-Hubler F: CoBaltDB: Complete bacterial and archaeal orfeomes subcellular localization database and associated resources . In: BMC Microbiol. . 10, 2010, p. 88. doi : 10.1186 / 1471-2180-10-88 . PMID 20331850 . PMC 2850352 (free full text).
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  18. ^ Goldberg T, Hamp T, Rost B: LocTree2 predicts localization for all domains of life . In: Bioinformatics . 28, 2012, pp. I458-i465. doi : 10.1093 / bioinformatics / bts390 . PMID 22962467 .
  19. Goldberg T, Hecht M, Hamp T, Karl T, Yachdav G, Nielsen H, Rost B et al. : LocTree3 prediction of localization . In: Nucleic Acids Research . 2014. doi : 10.1093 / nar / gku396 . PMID 24848019 .
  20. Höglund A, Dönnes P, Blum T, Adolph HW, Kohlbacher O: MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition . In: Bioinformatics . 22, No. 10, May 2006, pp. 1158-1165. doi : 10.1093 / bioinformatics / btl002 . PMID 16428265 .
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  22. Gardy JL, Spencer C, Wang K, Ester M, Tusnády GE, Simon I, Hua S, deFays K, Lambert C, Nakai K, Brinkman FS: PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria . In: Nucleic Acids Res . 31, No. 13, July 2003, pp. 3613-7. doi : 10.1093 / nar / gkg602 . PMID 12824378 . PMC 169008 (free full text).
  23. Gardy JL, Laird MR, Chen F, Rey S, Walsh CJ, Ester M, Brinkman FS: PSORTb v.2.0: expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis . In: Bioinformatics . 21, No. 5, March 2005, pp. 617-23. doi : 10.1093 / bioinformatics / bti057 . PMID 15501914 .
  24. Magnus M, Pawlowski M, Bujnicki JM: MetaLocGramN: a meta-predictor of protein subcellular localization for Gram-negative bacteria . In: BBA - Proteins and Proteomics . 1824, No. 12, December 2012, pp. 1425-1433. doi : 10.1016 / j.bbapap.2012.05.018 . PMID 22705560 .
  25. ^ Nair R, Carter P, Rost B: NLSdb: database of nuclear localization signals . In: Nucleic Acids Res . 31, No. 1, January 2003, pp. 397-9. doi : 10.1093 / nar / gkg001 . PMID 12520032 . PMC 165448 (free full text).
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  32. Saravanan V, Lakshmi PTV: APSLAP: an adaptive boosting technique for predicting subcellular localization of apoptosis protein . In: Acta Biotheor . 61, No. 4, Dec 2013, pp. 481-497. doi : 10.1007 / s10441-013-9197-1 . PMID 23982307 .