A structure-based approach to predict predisposition to amyloidosis

Alzheimer's and Dementia

Volumn 11, Issue 6, 2015, Pages 681-690

  Ahmed, Abdullah B ^a,b   Znassi, Nadia ^a,c   Château, Marie Thérèse ^a,d   Kajava, Andrey V ^a,c  

^a Centre National de la Recherche Scientifique   (France)

^b Department of Electrical Computer Engineering   (Pakistan)

^c LIRMM   (France)

^d UNIV MONTPELLIER   (France)

Author keywords

3D structure; Amyloid fibrils; Computational approaches; Dementia; Early diagnosis; Human diseases; Personalized medicine; Proteomes; Sequence analysis

Indexed keywords

AMYLIN; AMYLOID; AMYLOID BETA PROTEIN[1-40]; AMYLOID BETA PROTEIN[1-42]; AMYLOID PRECURSOR PROTEIN; MUTANT PROTEIN; PROTEIN; PROTEIN SUP35P; PROTEIN URE2P; RECEPTOR INTERACTING SERINE THREONINE PROTEIN KINASE 3; TAR DNA BINDING PROTEIN; UNCLASSIFIED DRUG; AMYLOID BETA PROTEIN; AMYLOID BETA-PROTEIN (1-42); FUNGAL PROTEIN; PEPTIDE FRAGMENT;

AMYLOIDOGENICITY; AMYLOIDOSIS; ARTICLE; BETA SHEET; BIOINFORMATICS; COMPUTER MODEL; DISEASE PREDISPOSITION; HUMAN; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PATHOGENICITY; PREDICTION; PRIORITY JOURNAL; PROTEIN CONFORMATION; PROTEIN LOCALIZATION; PROTEIN MOTIF; PROTEIN STRUCTURE; STRUCTURE ANALYSIS; THREE DIMENSIONAL IMAGING; WILD TYPE; COMPUTER SIMULATION; EARLY DIAGNOSIS; GENETICS; METABOLISM; MUTATION; NUCLEAR MAGNETIC RESONANCE; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SACCHAROMYCES CEREVISIAE; SEQUENCE ANALYSIS;

AMYLOID; AMYLOID BETA-PEPTIDES; AMYLOIDOSIS; COMPUTER SIMULATION; EARLY DIAGNOSIS; FUNGAL PROTEINS; HUMANS; MUTATION; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PEPTIDE FRAGMENTS; PROTEIN CONFORMATION; ROC CURVE; SACCHAROMYCES CEREVISIAE; SEQUENCE ANALYSIS;

EID: 84931562363     PISSN: 15525260     EISSN: 15525279     Source Type: Journal    
DOI: 10.1016/j.jalz.2014.06.007     Document Type: Article

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