PredictFold-PSS-3D1D: A Protein Fold Recognition Server for Predicting
Folds from the Twilight Zone Sequences
By:Ganesan, K (Ganesan, Kaliappan)[ 1 ] ; Parthasarathy, S (Parthasarathy, Subbiah)[ 1 ]
CURRENT BIOINFORMATICS
Volume: 8
Issue: 5
Pages: 552-556
Published: NOV 2013
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Abstract
The PredictFold-PSS-3D1D is an online protein fold recognition web server used to predict the possible folds from the
twilight zone protein sequences. In this server, an improved 3D1D profile method (Ganesan and Parthasarathy, J.
Struct. Funct. Genomics, 12, 181-189, 2011) is employed, wherein, the inclusion of predicted secondary structure
information improves fold recognition. The PredictFold-PSS-3D1D server accepts amino acid sequences and their
predicted secondary structure data as input and aligns them with the 3D1D profiles of known SCOP folds in a database.
The alignments are ranked by the z-values and P-values. The top 5 ranks of the SCOP folds from the database are
listed along with a link to 'View SCOP details'. The folds with z-values >= 3.0 and P-values <= 0.05 are indicated as
'Predicted Fold' for the given query twilight zone protein sequence. This server is available in our PredictFold web
server at http://bioinfo.bdu.ac.in/pss3d1d/.
Keywords
Author Keywords:3D1D profile; protein fold recognition; protein secondary structure server; twilight zone sequences
KeyWords Plus:SECONDARY STRUCTURE
Author Information
Reprint Address: Parthasarathy, S (reprint author)
Bharathidasan Univ, Sch Life Sci, Dept Bioinformat, Tiruchchirappalli 620024, Tamil Nadu, India.
Addresses:
[ 1 ] Bharathidasan Univ, Sch Life Sci, Dept Bioinformat, Tiruchchirappalli 620024, Tamil Nadu, India
E-mail Addresses:bdupartha@gmail.com
Funding
Funding Agency
Grant Number
Department of Information Technology (DIT), Govt. of India, New Delhi
DIT
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Publisher
BENTHAM SCIENCE PUBL LTD, EXECUTIVE STE Y-2, PO BOX 7917, SAIF ZONE, 1200 BR SHARJAH, U ARAB
EMIRATES
Categories / Classification
Research Areas:Biochemistry & Molecular Biology; Mathematical & Computational Biology
Web of Science Categories:Biochemical Research Methods; Mathematical & Computational Biology
Document Information
Document Type:Article
Language:English
Accession Number: WOS:000325754000005
ISSN: 1574-8936
eISSN: 2212-392X
Other Information
IDS Number: 235WX
Cited References in Web of Science Core Collection: 9
Times Cited in Web of Science Core Collection: 0