Theses and Dissertations
ORCID
https://orcid.org/0000-0002-9166-0527
Advisor
Gwaltney, Steven
Committee Member
Fitzkee, Nick
Committee Member
Johnson, Christopher
Committee Member
Gangishetty, Mahesh
Committee Member
Emerson, Joseph
Date of Degree
12-12-2025
Original embargo terms
Visible MSU Only 1 year
Document Type
Dissertation - Campus Access Only
Major
Chemistry
Degree Name
Doctor of Philosophy (Ph.D.)
College
College of Arts and Sciences
Department
Department of Chemistry
Abstract
Biological molecules operate in environments that are heterogeneous and dynamic, which complicates the task of identifying the physical mechanisms that govern their behavior. This dissertation develops computational approaches that combine molecular dynamics and quantum chemical methods to examine how local environments shape structure, spectroscopy, and recognition across three representative systems: lipid bilayers perturbed by choline-based ionic liquids, solvatochromic dyes in ionic and mixed solvents, and G-quadruplex DNA bound to small-molecule ligands. In the membrane studies, all-atom simulations show how anion hydrophobicity and hydration state determine bilayer remodeling, ranging from lateral compression and headgroup reorientation to tail disorder and early pore formation. These atomistic insights explain how biocompatible ionic liquids modulate permeability and inform the design of safer delivery media. In the solvatochromism studies, explicit-solvent trajectories of the squaraine dye SO₃SQ are integrated with time-dependent density functional theory to resolve the structural and electrostatic contributions to spectral shifts. The workflow captures inhomogeneous broadening from ion pairing and polarization that cannot be reproduced by continuum models, creating a predictive link between spectral signatures and microenvironment distributions. In the nucleic acid studies, docking and long-timescale simulations coupled with free-energy calculations identify feasible binding modes of the porphyrin TMPyP4 to a c-MYC G-quadruplex. The results quantify the relative stability of end-stacking and intercalation, clarifying ligand recognition at atomic detail. Taken together, these projects demonstrate that environment-specific modeling is required to connect microscopic interactions with experimentally measurable properties. The protocols established here advance the predictive scope of computational chemistry and provide general strategies for studying membrane remodeling, solvatochromic response, and nucleic acid recognition in biologically relevant systems.
Sponsorship (Optional)
Supported in part by NSF OIA-2414443 (Mississippi EPSCoR E-RISE)
Recommended Citation
Delwakkada Liyanage, Senal, "Computational modeling of environment-driven molecular interactions in biological systems" (2025). Theses and Dissertations. 6836.
https://scholarsjunction.msstate.edu/td/6836