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http://krishi.icar.gov.in/jspui/handle/123456789/73726Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Prabina Kumar Meher | en_US |
| dc.contributor.author | Tanmaya Sahu | en_US |
| dc.contributor.author | Anjali Banchariya | en_US |
| dc.contributor.author | Atmakuri Ramakrishna Rao | en_US |
| dc.date.accessioned | 2022-08-07T05:16:31Z | - |
| dc.date.available | 2022-08-07T05:16:31Z | - |
| dc.date.issued | 2017-03-24 | - |
| dc.identifier.citation | Meher, P.K., Sahu, T.K., Banchariya, A. et al.(2017). DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins. BMC Bioinformatics 18, 190. https://doi.org/10.1186/s12859-017-1587-y | en_US |
| dc.identifier.issn | Not Available | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/73726 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | Insecticide resistance is a major challenge for the control program of insect pests in the fields of crop protection, human and animal health etc. Resistance to different insecticides is conferred by the proteins encoded from certain class of genes of the insects. To distinguish the insecticide resistant proteins from non-resistant proteins, no computational tool is available till date. Thus, development of such a computational tool will be helpful in predicting the insecticide resistant proteins, which can be targeted for developing appropriate insecticides. | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Not Available | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | Insecticide resistance | en_US |
| dc.subject | SVM | en_US |
| dc.subject | Di-peptide composition | en_US |
| dc.subject | Cytochrome P450 | en_US |
| dc.subject | GABA | en_US |
| dc.title | DIRProt: A computational approach for discriminating insecticide resistant proteins from non-resistant proteins | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | Research Paper | en_US |
| dc.publication.projectcode | Not Available | en_US |
| dc.publication.journalname | BMC Bioinformatics | en_US |
| dc.publication.volumeno | 18 | en_US |
| dc.publication.pagenumber | 190 | en_US |
| dc.publication.divisionUnit | Not Available | en_US |
| dc.publication.sourceUrl | 10.1186/s12859-017-1587-y | en_US |
| dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
| dc.publication.authorAffiliation | ICAR::Indian Agricultural Research Institute | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| dc.publication.naasrating | 9.17 | en_US |
| dc.publication.impactfactor | 3.17 | en_US |
| Appears in Collections: | AEdu-IASRI-Publication | |
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