Please use this identifier to cite or link to this item:
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6053
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | GALANDE, SANJEEV | - |
dc.contributor.author | K David, Antony Kiran | en_US |
dc.date.accessioned | 2021-07 | |
dc.date.available | 2021-07 | |
dc.date.issued | 2020 | en_US |
dc.identifier.uri | http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6053 | - |
dc.description | This work was done as part of the 2020 iGEM project from IISER Pune titled: Anopheles: "The Half Blood Princess" (https://2020.igem.org/Team:IISER-Pune-India). The project aimed to develop a peptide-based drug library to compact the problem of Drug resistance among the Plasmodium parasites. | en_US |
dc.description.abstract | Malaria is caused by the Plasmodium parasites and is transmitted through the bites of female Anopheles mosquito. Of the 5 Plasmodium species that cause malaria, P. falciparum and P. vivax cause the greatest threat. The unavoidable problem of drug resistance among the parasites is significantly affecting our battle against this deadly infection. To tackle this problem the 2020 iGEM team from IISER Pune has proposed developing a peptide drug library. So when we observe that the parasite has developed resistance against one drug, we could choose a different one available in the library. This study is part of that effort where I would be investigating the cytoadherence promoting interaction between Plasmodium falciparum PfEMP1 virulence protein and human host CD36 receptor and predicting a peptide-based inhibitor for the interaction using in-silico analysis. | en_US |
dc.description.sponsorship | 2020 iGEM IISER Pune Team | en_US |
dc.language.iso | en | en_US |
dc.subject | Computational Biology | en_US |
dc.subject | Drug Designing | en_US |
dc.subject | Molecular Dynamics Simulations | en_US |
dc.subject | Homology Modelling | en_US |
dc.title | Study of host-parasite interaction proteins in case of Plasmodium falciparum mediated malaria and in-silico prediction of peptide-based inhibitors for crucial interactions | en_US |
dc.type | Technical Report | en_US |
dc.contributor.department | Dept. of Biology | en_US |
Appears in Collections: | PROJECT REPORTS |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Antony Kiran K David_20181083_BIO 301_end sem report.pdf | Semester Project Report | 2 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.