Development and application of structural prediction methods for flexible protein–ligand interactions

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dc.contributor.authorMcFarlane, James M.B.
dc.contributor.supervisorPaci, Irina
dc.date.accessioned2020-09-01T05:56:03Z
dc.date.available2020-09-01T05:56:03Z
dc.date.copyright2020en_US
dc.date.issued2020-08-31
dc.degree.departmentDepartment of Chemistry
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractThis dissertation presents a collection of biological simulations and predictions in collaboration with experiment to support and elucidate the trends observed in various protein–ligand systems. Within the model systems, there is a strong focus on the support for the development of peptidomimetic inhibitors for post-translational reader proteins (CBX proteins). The systems studied throughout this document each present their own unique challenges but fall under the general theme of protein flexibility and the difficulties of sampling such systems. As part of this work, methodological advances were made to address the challenges of structural prediction on flexible proteins and ultimately form the method Selective Ligand-Induced Conformational Ensemble (SLICE). The development, validation, and future directions of the SLICE method are also discussed. Ultimately, the collaborative efforts presented in this dissertation bring forward a greater understanding of the drug design challenges on the CBX proteins as well a new methodology in the field of structure-based drug design.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/12083
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectMolecular Dynamicsen_US
dc.subjectMolecular Dockingen_US
dc.subjectComputer-Assisted Drug Designen_US
dc.subjectCBXen_US
dc.titleDevelopment and application of structural prediction methods for flexible protein–ligand interactionsen_US
dc.typeThesisen_US

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