Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/121836
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dc.coverage.spatialComputational biophysics
dc.date.accessioned2016-11-22T06:14:19Z-
dc.date.available2016-11-22T06:14:19Z-
dc.identifier.urihttp://hdl.handle.net/10603/121836-
dc.description.abstractMembrane proteins account for more than half of present day drug targets, but an understanding of structure-function relationships in these proteins continues to be a challenge, owing to the difficulties associated with experimental investigations of these proteins. The work in this thesis makes use of all-atom molecular dynamics simulations to address important problems pertaining to membrane proteins. A major problem in drug design targeting membrane proteins is limited availability of experimental structures. Toward this end, an approach has been proposed here for modeling the structures of α-helical membrane proteins. While the approach is able to provide structural models for a number of channel proteins, possible improvements, that would make the approach more suitable for other membrane proteins, are proposed. The other aspect of membrane proteins that has been difficult to investigate experimentally is an atomistic level understanding of the conduction and selectivity mechanism in channels and transporters. This thesis provides insights into the mechanism of transport in a number of channels and transporters, including two viral ion channels, a mammalian aquaporin, and a bacterial urea transporter. While the work on structure modeling reveals some â rulesâ that membrane proteins follow at the time of oligomerization, the studies on transport across membrane proteins suggest that transport proteins have their unique mechanisms for determining selectivity, depending on what chemical species they conduct
dc.format.extentxxvi,182
dc.languageEnglish
dc.relation
dc.rightsself
dc.titleModeling structures and transport phenomena of transmembrane channels and transporters
dc.title.alternative
dc.creator.researcherPadhi Siladitya
dc.subject.keywordaquaporins
dc.subject.keywordenhanced sampling
dc.subject.keywordfree energy calculations
dc.subject.keywordion channels
dc.subject.keywordmembrane proteins
dc.subject.keywordmembrane transport
dc.subject.keywordmolecular dynamics simulations
dc.subject.keywordstructure prediction
dc.subject.keywordurea transporters
dc.subject.keywordviroporins
dc.description.note
dc.contributor.guidePriyakumar U Deva
dc.publisher.placeHyderabad
dc.publisher.universityInternational Institute of Information Technology, Hyderabad
dc.publisher.institutionComputational Natural Sciences
dc.date.registered19-7-2011
dc.date.completed06/10/2016
dc.date.awarded31/12/2016
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computational Natural Sciences

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02_certificates.pdf92.82 kBAdobe PDFView/Open
03_acknowledgments.pdf27.39 kBAdobe PDFView/Open
04_abstract.pdf28.79 kBAdobe PDFView/Open
05_contents.pdf109.88 kBAdobe PDFView/Open
06_chapter1.pdf265.99 kBAdobe PDFView/Open
07_chapter2.pdf220.45 kBAdobe PDFView/Open
08_chapter3.pdf771.04 kBAdobe PDFView/Open
09_chapter4.pdf646.14 kBAdobe PDFView/Open
10_chapter5.pdf1.58 MBAdobe PDFView/Open
11_chapter6.pdf782.69 kBAdobe PDFView/Open
12_chapter7.pdf552.2 kBAdobe PDFView/Open
13_chapter8.pdf1.26 MBAdobe PDFView/Open
14_chapter9.pdf46.61 kBAdobe PDFView/Open
15_publications.pdf18.22 kBAdobe PDFView/Open


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