About ARD
The authors of ARD are:
The server
ARD is an application for the identification of alpha-rod repeats in protein sequences using a neural net. Alpha-rods are elongated structural domain composed of stacked anti-parallel alpha-helices, as described in the publication below.
Publication:
Detection of alpha-rod protein repeats using a neural network and
application to huntingtin.
Palidwor GA, Shcherbinin S, Huska MR, Rasko T, Stelzl U, Arumughan A,
Foulle R, Porras P, Sanchez-Pulido L, Wanker EE, Andrade-Navarro MA.
PLoS Comput Biol. 2009 Mar;5(3):e1000304. Epub 2009 Mar 13.
PMID: 19282972
Meaning of the scores
The input window of the neural network is of 39 amino acids, which is
close to the average repeat length. All residues receive scores between
0 and 1. Residues with high scores should correspond to middle residues
in the hinge between the two helices of a repeat.
Reliability of scores
The parameters of the method were optimized using the analysis of
proteins of known structure. We found that hits above a score of 0.8
were reliable, especially when the protein had several of them in the
appropriate periodicity. Identification of a sequence as containing an
alpha-rod was optimal when requiring at least three hits above a score
of 0.8 with a minimum spacing of 30 amino acids between hits and a
maximum of 135.
Representation and output
Scores are represented in the input sequences with a scale from red
(1.0) to white (0.00). The data is also provided as a text output for
input to other software.
Analysis of aligned proteins
If you have a set of aligned proteins, you can make a FASTA file of the
alignment (it is one of the output options in the ClustalX multiple
sequence alignment program) and use it as input of ARD. Then, use the
BiasViz multiple sequence alignment viewer
(http://biasviz.sourceforge.net) inputting both the FASTA file of the
aligned proteins and the output file from ARD. Moreover, you can use
that FASTA file for prediction of secondary structure in JPRED3
(advanced options) (http://www.compbio.dundee.ac.uk/www-jpred/); the
resulting text only output can be also represented in BiasViz.
Contact
Send email to ogicinfo@ohri.ca