Analysis and prediction of cancerlectins using evolutionary and domain information.
IR@IMTECH: CSIR-Institute of Microbial Technology, Chandigarh
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| Title |
Analysis and prediction of cancerlectins using evolutionary and domain information.
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| Creator |
Kumar, Ravi
Panwar, Bharat Chauhan, Jagat S Raghava, G.P.S. |
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| Subject |
QR Microbiology
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| 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/
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| Publisher |
Biomedcentral
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| Date |
2011
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://crdd.osdd.net/open/457/1/raghava11.2.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 |
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| Relation |
http://www.biomedcentral.com/content/pdf/1756-0500-4-237.pdf
http://crdd.osdd.net/open/457/ |
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