FISH Amyloid – a new method for finding amyloidogenic segments in proteins based on site specific co-occurence of aminoacids

Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides

(2013) Jerzy Stanislawski et al.   BMC BIOINFORMATICS

A method for probing the mutational landscape of amyloid structure

(2011) Charles W. O'Donnell et al.   BIOINFORMATICS

Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies

(2010) Maria Pamela C David et al.   BMC BIOINFORMATICS

Proteome-Level Interplay between Folding and Aggregation Propensities of Proteins

(2010) Gian Gaetano Tartaglia et al.   JOURNAL OF MOLECULAR BIOLOGY

Exploring the sequence determinants of amyloid structure using position-specific scoring matrices

(2010) Sebastian Maurer-Stroh et al.   NATURE METHODS

Identifying the amylome, proteins capable of forming amyloid-like fibrils

(2010) Lukasz Goldschmidt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

FoldAmyloid: a method of prediction of amyloidogenic regions from protein sequence

(2009) S. O. Garbuzynskiy et al.   BIOINFORMATICS

NetCSSP: web application for predicting chameleon sequences and amyloid fibril formation

(2009) C. Kim et al.   NUCLEIC ACIDS RESEARCH

Amyloidogenic determinants are usually not buried

(2009) Kimon K Frousios et al.   BMC STRUCTURAL BIOLOGY

BETASCAN: Probable β-amyloids Identified by Pairwise Probabilistic Analysis

(2009) Allen W. Bryan et al.   PLoS Computational Biology

The Zyggregator method for predicting protein aggregation propensities

(2008) Gian Gaetano Tartaglia et al.   CHEMICAL SOCIETY REVIEWS