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2016 | OriginalPaper | Chapter

Database of Peptides Susceptible to Aggregation as a Tool for Studying Mechanisms of Diseases of Civilization

Authors : Pawel P. Wozniak, Jean-Christophe Nebel, Malgorzata Kotulska

Published in: Intelligent Information and Database Systems

Publisher: Springer Berlin Heidelberg

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Abstract

We introduce a database containing peptides related to diseases arising from protein aggregation. The general database AmyLoad includes all experimentally studied protein fragments that could be involved in erroneous protein folding, leading to amyloid formation. The database has been extended since its first release with regard to new instances of peptides or their fragments. Moreover, information of related diseases has been added to all entries, whenever available. Currently the database includes all available peptides tested for their potential amyloid properties, obtained from diverse resources, creating the largest dataset available at one place. This enables comparison between properties of amyloid and non-amyloid peptides. We could also select candidates for the most pathogenic peptides, involved in several diseases related to protein aggregation. We also discuss a need for sub-databases of different structures, such as related to \(\beta \gamma \)-crystallins - a protein family occurring in the eye lens. Misfolding of these proteins may lead to various forms of cataract. Those freely available internet services can facilitate finding the link between a protein sequence, its propensity to aggregation and the resulting disease, as well as support research on their pharmacological treatment and prevention.

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Literature
1.
go back to reference Garbuzynskiy, S.O., Lobanov, M.Y., Galzitskaya, O.V.: FoldAmyloid: a method of prediction of amyloidogenic regions from protein sequence. Bioinformatics 26(3), 326–332 (2010)CrossRef Garbuzynskiy, S.O., Lobanov, M.Y., Galzitskaya, O.V.: FoldAmyloid: a method of prediction of amyloidogenic regions from protein sequence. Bioinformatics 26(3), 326–332 (2010)CrossRef
2.
go back to reference Goldschmidt, L., Tenga, P.K., Riek, R., Eisenberg, D.: Identifying the amylome, proteins capable of forming amyloid-like fibrils. PNAS 107, 3487–3492 (2010)CrossRef Goldschmidt, L., Tenga, P.K., Riek, R., Eisenberg, D.: Identifying the amylome, proteins capable of forming amyloid-like fibrils. PNAS 107, 3487–3492 (2010)CrossRef
3.
go back to reference Bryan Jr., A.W., O’Donnell, C.W., Menke, M., Cowen, L.J., Lindquist, S., Berger, B.: STITCHER: dynamic assembly of likely amyloid and prion -structures from secondary structure predictions. Proteins, vol. 80, pp. 410–420 (2011) Bryan Jr., A.W., O’Donnell, C.W., Menke, M., Cowen, L.J., Lindquist, S., Berger, B.: STITCHER: dynamic assembly of likely amyloid and prion -structures from secondary structure predictions. Proteins, vol. 80, pp. 410–420 (2011)
4.
go back to reference O’Donnell, C.W., Waldispühl, J., Lis, M., Halfmann, R., Devadas, S., Lindquist, S., Berger, B.: A method for probing the mutational landscape of amyloid structure. Bioinformatics 27, i34–i42 (2011)CrossRef O’Donnell, C.W., Waldispühl, J., Lis, M., Halfmann, R., Devadas, S., Lindquist, S., Berger, B.: A method for probing the mutational landscape of amyloid structure. Bioinformatics 27, i34–i42 (2011)CrossRef
5.
go back to reference Beerten, J., Van Durme, J., Gallardo, R., Capriotti, E., Serpell, L., Rousseau, F., Schymkowitz, J.: WALTZ-DB: a benchmark database of amyloidogenic hexapeptides. Bioinformatics 31(10), 1698–1700 (2015)CrossRef Beerten, J., Van Durme, J., Gallardo, R., Capriotti, E., Serpell, L., Rousseau, F., Schymkowitz, J.: WALTZ-DB: a benchmark database of amyloidogenic hexapeptides. Bioinformatics 31(10), 1698–1700 (2015)CrossRef
6.
go back to reference Stanislawski, J., Kotulska, M., Unold, O.: Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides. BMC Bioinformatics 14, 21 (2013)CrossRef Stanislawski, J., Kotulska, M., Unold, O.: Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides. BMC Bioinformatics 14, 21 (2013)CrossRef
7.
go back to reference Gasior, P., Kotulska, M.: FISH Amyloid - a new method for finding amyloidogenic segments in proteins based on site specific co-occurrence of aminoacids. BMC Bioinformatics 15, 54 (2014)CrossRef Gasior, P., Kotulska, M.: FISH Amyloid - a new method for finding amyloidogenic segments in proteins based on site specific co-occurrence of aminoacids. BMC Bioinformatics 15, 54 (2014)CrossRef
8.
go back to reference Zambrano, R., Jamroz, M., Szczasiuk, A., Pujols, J., Kmiecik, S., Ventura, S.: AGGRESCAN3D (A3D): server for prediction of aggregation properties of protein structures. Nucleic Acids Res. (2015). doi:10.1093/nar/gkv359 Zambrano, R., Jamroz, M., Szczasiuk, A., Pujols, J., Kmiecik, S., Ventura, S.: AGGRESCAN3D (A3D): server for prediction of aggregation properties of protein structures. Nucleic Acids Res. (2015). doi:10.​1093/​nar/​gkv359
10.
go back to reference Thompson, M.J., Sievers, S.A., Karanicolas, J., Ivanova, M.I., Baker, D., Eisenberg, D.: The 3D profile method for identifying fibril-forming segments of proteins. Proc. Natl. Acad. Sci. U.S.A. 103(11), 4074–4078 (2006)CrossRef Thompson, M.J., Sievers, S.A., Karanicolas, J., Ivanova, M.I., Baker, D., Eisenberg, D.: The 3D profile method for identifying fibril-forming segments of proteins. Proc. Natl. Acad. Sci. U.S.A. 103(11), 4074–4078 (2006)CrossRef
11.
go back to reference Fernandez-Escamilla, A.M., Rousseau, F., Schymkowitz, J., Serrano, L.: Prediction of sequence-dependent and mutational effects on the aggregation of peptides and proteins. Nat. Biotechnol. 22(10), 1302–1306 (2004)CrossRef Fernandez-Escamilla, A.M., Rousseau, F., Schymkowitz, J., Serrano, L.: Prediction of sequence-dependent and mutational effects on the aggregation of peptides and proteins. Nat. Biotechnol. 22(10), 1302–1306 (2004)CrossRef
12.
go back to reference Conchillo-Sol, O., de Groot, N.S., Avils, F.X., Vendrell, J., Daura, X., Ventura, S.: AGGRESCAN: a server for the prediction and evaluation of “hot spots” of aggregation in polypeptides. BMC Bioinformatics 8, 65 (2007)CrossRef Conchillo-Sol, O., de Groot, N.S., Avils, F.X., Vendrell, J., Daura, X., Ventura, S.: AGGRESCAN: a server for the prediction and evaluation of “hot spots” of aggregation in polypeptides. BMC Bioinformatics 8, 65 (2007)CrossRef
Metadata
Title
Database of Peptides Susceptible to Aggregation as a Tool for Studying Mechanisms of Diseases of Civilization
Authors
Pawel P. Wozniak
Jean-Christophe Nebel
Malgorzata Kotulska
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-49381-6_30

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