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Analysis and prediction of cancerlectins using evolutionary and domain information.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Analysis and prediction of cancerlectins using evolutionary and domain information.
 
Creator Kumar, Ravi
Panwar, Bharat
Chauhan, Jagat S
Raghava, G.P.S.
 
Subject QR Microbiology
 
Description BLAST has been found inefficient to distinguish between cancer and non-cancerlectins. We analyzed the protein sequences of cancer and non-cancerlectins and identified interesting patterns. We have been able to identify PROSITE domains that are preferred in cancer and non-cancerlectins and thus provided interesting insights into the two types of proteins. The method developed in this study will be useful for researchers studying cancerlectins, lectins and cancer biology. The web-server based on the above study, is available at http://www.imtech.res.in/raghava/cancer_pred/
 
Publisher Biomedcentral
 
Date 2011
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://crdd.osdd.net/open/4/1/raghava2011.2.pdf
Kumar, Ravi and Panwar, Bharat and Chauhan, Jagat S and Raghava, G.P.S. (2011) Analysis and prediction of cancerlectins using evolutionary and domain information. BMC research notes, 4. p. 237. ISSN 1756-0500
 
Relation http://www.biomedcentral.com/content/pdf/1756-0500-4-237.pdf
http://crdd.osdd.net/open/4/