ICAR Research Data Repository for Knowledge Management
Analysis and prediction of antibacterial peptides.
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| Title |
Analysis and prediction of antibacterial peptides.
|
|
| Creator |
Lata, Sneh
Sharma, B K Raghava, G.P.S. |
|
| Subject |
QR Microbiology
|
|
| Description |
Among antibacterial peptides, there is preference for certain residues at N and C termini, which helps to demarcate them from non-antibacterial peptides. Both the termini play a crucial role in imparting the antibacterial property to these peptides. Among the methods developed, SVM shows the best performance in predicting antibacterial peptides followed by QM and ANN, in that order. AntiBP (Antibacterial peptides) will help in discovering efficacious antibacterial peptides, which we hope will prove to be a boon to combat the dreadful antibiotic resistant bacteria. A user friendly web server has also been developed to help the biological community, which is accessible at http://www.imtech.res.in/raghava/antibp/.
|
|
| Publisher |
Biomedcentral
|
|
| Date |
2007
|
|
| Type |
Article
PeerReviewed |
|
| Format |
application/pdf
|
|
| Identifier |
http://crdd.osdd.net/open/49/1/raghava2007.3.pdf
Lata, Sneh and Sharma, B K and Raghava, G.P.S. (2007) Analysis and prediction of antibacterial peptides. BMC bioinformatics, 8. p. 263. ISSN 1471-2105 |
|
| Relation |
http://www.biomedcentral.com/1471-2105/8/263
http://crdd.osdd.net/open/49/ |
|