dc.contributor.advisor | Hossain, Mahboob | |
dc.contributor.author | Siddiqui, Aorchie | |
dc.date.accessioned | 2019-09-01T07:23:12Z | |
dc.date.available | 2019-09-01T07:23:12Z | |
dc.date.copyright | 2019 | |
dc.date.issued | 2019-06 | |
dc.identifier.other | ID 15136017 | |
dc.identifier.uri | http://hdl.handle.net/10361/12510 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology, 2019. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 65-71). | |
dc.description.abstract | DORN1 also known as P2K1 is the first member of the plant-specific purinoreceptor subfamily termed P2K and belongs to the vast gene family of legume-type (L-type) lectin receptor kinases. Research has shown that DORN1 recognizes extracellular ATP (eATP) with high affinity, which likely plays a role as a central danger signaling molecule in many plant stress response pathways. However, a lack of information on the tertiary structure of the L-type lectin ligand binding domain of DORN1 hinders efforts to fully explain the recognition and signaling mechanisms of DORN1. To date there exist no experimentally determined structure of DORN1 in protein databases as a result using computational approaches; ab-initio and comparative modeling techniques provide an alternative and reliable method in predicting the structure and thus the function accordingly | en_US |
dc.description.statementofresponsibility | Aorchie Siddiqui | |
dc.format.extent | 71 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | DORN1 | en_US |
dc.subject | ATP (eATP) | en_US |
dc.subject | Computational structural | en_US |
dc.subject.lcsh | Computational biology. | |
dc.subject.lcsh | Structural bioinformatics. | |
dc.title | Computational structural analysis and modeling of plant PRR DORN1 ectodomain | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Mathematics and Natural Sciences, Brac University | |
dc.description.degree | B. Biotechnology | |