Using molecular dynamics simulations to understand receptor-complex communication and signaling
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| Title: | Using molecular dynamics simulations to understand receptor-complex communication and signaling |
|---|---|
| Authors: | Hoag, Hannah Margaret |
| Committee Members: | Wu, Chun; Caputo, Gregory; Keck, Thomas |
| Summary: | The overarching purpose of this document is to use Computer-aided drug design and Molecular dynamic simulations to better understand elusive drug-receptor interactions, as well as various types of inter-receptor signaling. Chapter One introduces the theory and importance of Computer-aided drug design and the methodology used in both Chapters Two and Three. Chapter Two uncovers the relationship between the well-studied ABCB1 transporter and a newly identified drug known as Xanthohumol (XN). XN is compared to a commonly used drug, Doxorubicin (DOX), in this chapter. If the ABCB1 transporter can be properly inhibited, cancer-fighting drugs will be able to stay within the cancer cell and will therefore be more effective. Molecular dynamic simulations are completed and analyzed for both XN and DOX as comparison. It was determined that XN competitively blocks DOX binding and may be a stronger inhibitor than DOX. Chapter Three uses MD simulations to study GPCR signaling when bound to an agonist or antagonist and when unbound. Through MD simulation and analysis, it was determined that the alpha subunit plays an important role in GPCR- G-protein activation. Using MM-GBSA, RMSF/D, and other various analyses, various aspects of GPCR-G-protein activation were uncovered within this chapter. |
| URL: | https://rdw.rowan.edu/etd/2874 |
| Database: | OpenDissertations |
| FullText | Text: Availability: 0 |
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| Header | DbId: ddu DbLabel: OpenDissertations An: ddu.oai.rdw.rowan.edu.etd.3876 AccessLevel: 6 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using molecular dynamics simulations to understand receptor-complex communication and signaling – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hoag%2C+Hannah+Margaret%22">Hoag, Hannah Margaret</searchLink> – Name: Author Label: Committee Members Group: Au Data: <searchLink fieldCode="CO" term="%22Wu%2C+Chun%22">Wu, Chun</searchLink>; <searchLink fieldCode="CO" term="%22Caputo%2C+Gregory%22">Caputo, Gregory</searchLink>; <searchLink fieldCode="CO" term="%22Keck%2C+Thomas%22">Keck, Thomas</searchLink> – Name: Abstract Label: Summary Group: Ab Data: The overarching purpose of this document is to use Computer-aided drug design and Molecular dynamic simulations to better understand elusive drug-receptor interactions, as well as various types of inter-receptor signaling. Chapter One introduces the theory and importance of Computer-aided drug design and the methodology used in both Chapters Two and Three. Chapter Two uncovers the relationship between the well-studied ABCB1 transporter and a newly identified drug known as Xanthohumol (XN). XN is compared to a commonly used drug, Doxorubicin (DOX), in this chapter. If the ABCB1 transporter can be properly inhibited, cancer-fighting drugs will be able to stay within the cancer cell and will therefore be more effective. Molecular dynamic simulations are completed and analyzed for both XN and DOX as comparison. It was determined that XN competitively blocks DOX binding and may be a stronger inhibitor than DOX. Chapter Three uses MD simulations to study GPCR signaling when bound to an agonist or antagonist and when unbound. Through MD simulation and analysis, it was determined that the alpha subunit plays an important role in GPCR- G-protein activation. Using MM-GBSA, RMSF/D, and other various analyses, various aspects of GPCR-G-protein activation were uncovered within this chapter. – Name: URL Label: URL Group: URL Data: <link linkTarget="URL" linkTerm="https://rdw.rowan.edu/etd/2874" linkWindow="_blank">https://rdw.rowan.edu/etd/2874</link> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ddu&AN=ddu.oai.rdw.rowan.edu.etd.3876 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English Subjects: – SubjectFull: G protein Type: general – SubjectFull: GPCR Type: general – SubjectFull: Molecular dynamics Type: general – SubjectFull: Xanthohumol Type: general – SubjectFull: Drugs--Design; Chemistry--Computer simulation Type: general – SubjectFull: Medicinal-Pharmaceutical Chemistry Type: general Titles: – TitleFull: Using molecular dynamics simulations to understand receptor-complex communication and signaling Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hoag, Hannah Margaret IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 02 Type: published Y: 2021 |
| ResultId | 1 |
