Pafig 1.0 – Prediction of Amyloid Fibril-forming Segments

Pafig 1.0

:: DESCRIPTION

Pafig based on support vector machines, exploited 41 physicochemical properties to identify the specific regions associated with fibrillar aggregates.

::DEVELOPER

Biotechnology Research Institute, Chinese Academy of Agricultural Sciences

:: SCREENSHOTS

n/a

:: REQUIREMENTS

Windows
Perl

:: DOWNLOAD

Pafig

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S45. doi: 10.1186/1471-2105-10-S1-S45.
Prediction of amyloid fibril-forming segments based on a support vector machine.
Tian J1, Wu N, Guo J, Fan Y.

AMYLPRED – A Consensus Method for Amyloid Propensity Prediction

AMYLPRED

:: DESCRIPTION

AMYL-PRED is a consensus prediction method for identifying possible amyloidogenic regions in protein sequences.

::DEVELOPER

The Biophysics and Bioinformatics Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

BMC Struct Biol. 2009 Jul 9;9:44. doi: 10.1186/1472-6807-9-44.
Amyloidogenic determinants are usually not buried.
Frousios KK, Iconomidou VA, Karletidi CM, Hamodrakas SJ.

ArchCandy 1.0 – Detect Regions in Protein Sequences that have a potential to form Amyloids

ArchCandy 1.0

:: DESCRIPTION

ArchCandy is able to decode protein sequence motifs that have a potential to form amyloids.

::DEVELOPER

BiSMM – Structural Bioinformatics and Molecular Modeling

:: SCREENSHOTS

:: REQUIREMENTS

Windows / Linux / Mac OsX
Java

:: DOWNLOAD

ArchCandy

:: MORE INFORMATION

Citation

A structure-based approach to predict predisposition to amyloidosis
Ahmed AB, Znassi N, Chateau MT, Kajava AV
Alzheimers Dement. DOI: 10.1016/j.jalz.2014.06.007