Repository logo
 

Development of computational tools to model molecular interactions for medicinal chemistry

Simple item page
dc.contributor.authorFord, Melissa Coates, author
dc.contributor.authorHo, P. Shing, advisor
dc.contributor.authorCohen, Robert, committee member
dc.contributor.authorSnow, Christopher, committee member
dc.contributor.authorMcCullagh, Martin, committee member
dc.date.accessioned2017-09-14T16:04:15Z
dc.date.available2018-09-12T16:04:38Z
dc.date.issued2017
dc.description.abstractMedicinal chemistry has evolved over the past 40 years to rely heavily on the computationally aided design of new drugs. The work in this dissertation focuses on developing computational tools for the application of medicinal chemistry. For computational techniques to be dependable, important interactions must be properly modeled and the techniques must be rigorously tested. In this work, I first introduce an important interaction for drug design, the halogen bond (X-bond). We consider how decades of work has come closer to properly modeling the X-bond, yet there remain many unexplored areas. Two areas are addressed in this dissertation: the structure-energy relationship of 1) a Br…S- X-bond in a DNA junction and 2) Br…O and I…O X-bonds in T4 Lysozyme (T4-L). Using these systems, we can better understand the X-bond and further test computational tools. One such tool, a molecular mechanics/dynamics package, TINKER, does not model X-bonds. Thus, I then incorporate a force field for a broad range of X-bonding molecules into TINKER, creating X-TINKER. X-TINKER reproduces the energies and geometries of the X-bond in the DNA and T4-L systems. Last, I will discuss testing a different software developed by Schrödinger, FEP+. We find FEP+ can effectively predict protein stability; however, it still has areas that need improvement. Together, the findings of this dissertation emphasize the importance of understanding molecular interactions, improving algorithms, and testing current programs to find remaining failures. By continuing to use this cycle, we hope to see the impact of computational tools in medicinal chemistry.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierFord_colostate_0053A_14242.pdf
dc.identifier.urihttps://hdl.handle.net/10217/183881
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectmolecular mechanics
dc.subjectcomputational chemistry
dc.subjectprotein
dc.subjecthalogen bonds
dc.subjectDNA
dc.titleDevelopment of computational tools to model molecular interactions for medicinal chemistry
dc.typeText
dcterms.embargo.expires2018-09-12
dcterms.embargo.terms2018-09-12
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineBiochemistry and Molecular Biology
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Ford_colostate_0053A_14242.pdf
Size:
7.79 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

2000-2019
Theses and Dissertations