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A method for probing the mutational landscape of amyloid structure
Author(s) -
Colm P. O’Donnell,
Jérôme Waldispühl,
Mieszko Lis,
Randal Halfmann,
Srinivas Devadas,
Susan Lindquist,
Bonnie Berger
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr238
Subject(s) - mutant , amyloid (mycology) , mutagenesis , mutation , sequence (biology) , fibril , computational biology , amyloid disease , protein folding , amyloid fibril , protein structure , biophysics , chemistry , biology , biochemistry , amyloid β , gene , medicine , inorganic chemistry , disease , pathology
Proteins of all kinds can self-assemble into highly ordered β-sheet aggregates known as amyloid fibrils, important both biologically and clinically. However, the specific molecular structure of a fibril can vary dramatically depending on sequence and environmental conditions, and mutations can drastically alter amyloid function and pathogenicity. Experimental structure determination has proven extremely difficult with only a handful of NMR-based models proposed, suggesting a need for computational methods.

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