Literature DB >> 12070339

The fibril_one on-line database: mutations, experimental conditions, and trends associated with amyloid fibril formation.

Jennifer A Siepen1, David R Westhead.   

Abstract

The association of amyloid fibril formation with a number of important diseases, and the extensive study of this process in vitro, has resulted in a large literature containing a vast amount of information about the fibril formation process. This includes mutations and experimental conditions that promote or protect against fibril formation. A database (fibril_one) was designed to hold information relating to the formation of fibrils. It was populated by extensive searches of the literature and other databases. A powerful World Wide Web query interface to the database was developed, enabling a simple and effective method to view amyloidogenic mutations associated with specific proteins. The Web interface was used to identify trends in the data. This revealed that mutations promoting fibril formation through altered folding tend to be associated with destabilization of the native fold. In particular, tendencies of mutations to disrupt the native secondary structure and packing in the hydrophobic core were discovered to be significant. Query access to the database is available freely on the World Wide Web at http://www.bioinformatics.leeds.ac.uk/group/online/fibril_one.

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Year:  2002        PMID: 12070339      PMCID: PMC2373654          DOI: 10.1110/ps.0204302

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  13 in total

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  4 in total

1.  Studies of the aggregation of mutant proteins in vitro provide insights into the genetics of amyloid diseases.

Authors:  Fabrizio Chiti; Martino Calamai; Niccolo Taddei; Massimo Stefani; Giampietro Ramponi; Christopher M Dobson
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-08       Impact factor: 11.205

Review 2.  Protein aggregation: in silico algorithms and applications.

Authors:  R Prabakaran; Puneet Rawat; A Mary Thangakani; Sandeep Kumar; M Michael Gromiha
Journal:  Biophys Rev       Date:  2021-01-17

3.  A simple algorithm locates beta-strands in the amyloid fibril core of alpha-synuclein, Abeta, and tau using the amino acid sequence alone.

Authors:  Shahin Zibaee; O Sumner Makin; Michel Goedert; Louise C Serpell
Journal:  Protein Sci       Date:  2007-05       Impact factor: 6.725

4.  AMYPdb: a database dedicated to amyloid precursor proteins.

Authors:  Sandrine Pawlicki; Antony Le Béchec; Christian Delamarche
Journal:  BMC Bioinformatics       Date:  2008-06-10       Impact factor: 3.169

  4 in total

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