| Primary information |
|---|
| ID | 1004 |
| Resource Name | iAMPred |
| Resource Description | Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC |
| Resource Link | http://cabgrid.res.in:8080/amppred/ |
| Publiced in Journal | Scientific Reports |
| Resource Class | BioDrug |
| Source | Protein |
| Year of Publication | 2017 |
| PMID | 28205576 |
| Corresponding Author | A R Rao |
| Email | rao.cshl.work@gmail.com |
| Institute | ICAR - Indian Agricultural Statistics Research Institute (IASRI) |
| City | New Delhi |
| Institute in State or Area | New Delhi |
| Funding Organization | ICAR |
| Functional Status | Functional |
| Resource Category | Prediction |