Modeling the Role of Water in Protein Structure and Function

dc.contributor.authorMondal, Ronnieen
dc.contributor.committeechairWelborn, Valerieen
dc.contributor.committeememberMayhall, Nicholasen
dc.contributor.committeememberTroya, Diegoen
dc.contributor.committeememberCrawford, Thomas Danielen
dc.contributor.departmentChemistryen
dc.date.accessioned2026-06-16T08:01:15Zen
dc.date.available2026-06-16T08:01:15Zen
dc.date.issued2026-06-15en
dc.description.abstractWater is a solvent with high static dielectric constant, substantial dipole moment, significant electronic polarizability, and a dynamic hydrogen-bonding network. As such, water plays a pivotal role in protein structure and function, the molecular mechanisms of which remain challenging to determine. This dissertation develops and applies computational frameworks to rigorously integrate water effects on protein structure and function. We first examine how stronger protein–water interactions in the classical AMOEBA force field produce more realistic deformation behavior in collagen mimetic peptides (CMPs). In particular, our simulations of (PPG)$_n$ CMPs ($n=5,12,25$) under physiological conditions capture the experimental observation that shorter CMPs deform more strongly than longer ones. To better characterize these CMPs, we developed textsc{HeliXplore}, an open-source Python package for analyzing single- and multi-strand deformations. We further report that the length-dependent deformation we observe is associated with anisotropic translational and rotational relaxation dynamics of surrounding water molecules. Overall, we show that AMOEBA offers a substantial improvement over traditional force fields that often underestimate protein–water interactions. We next investigate the diffusion of solvated sodium ions through voltage-gated sodium channels (Na$_{mathrm{v}}$s). To do so, we develop a Continuous-Time Random Walk (CTRW) model that describes microscopic diffusion as a function of spatial and temporal disorder at the molecular scale. In addition, we establish a framework that incorporates this molecular disorder using information from polarizable MD simulations, enabling a consistent bottom-up approach. Using the CTRW model, we show that increased temporal disorder of the ion can accelerate diffusion in disordered media. More broadly, our results suggest that structural dynamics may help explain how Na${_mathrm{v}}$s achieve both high selectivity, through strong sodium binding, and rapid ion diffusion across the membrane.en
dc.description.abstractgeneralWater is a solvent with unique electrical and bonding properties that make it essential for protein structure and function. However, exactly how the roles affect the microscopic dynamics is still challenging to determine. This dissertation creates computer models to better understand and include water's effects on proteins. We first show that enhanced computational models of protein-water interactions more accurately reproduce the experimentally observed deformation in collagen-like proteins. Simulations were conducted on short, medium, and long protein chains under conditions similar to those in living tissues. The results from these simulations align with experimental findings that shorter chains deform more than longer ones. To better quantify these deformations, we developed textsc{HeliXplore}, an open-source software to analyze helical deformations in these proteins and other helical systems. We also report that the observed deformations influences the motion of the surrounding water molecules. Overall, we show improved agreement over traditional models that underestimate the interactions between the protein and water molecules. Next, we study how sodium ions move through channels that are embedded in the membranes of neurons. We developed a model where the ion moves in directions randomly chosen under a few set rules. This randomness, originating from both the protein and the water, captures how the disorder in position and time of the medium affects the movement of the ion. Additionally, we create a framework to incorporate finer details from more complex simulations, which include contributions from both the water and the protein. Using our model, we show that the increase in randomness in the ion's movement over time can accelerate diffusion in these channels. More broadly, these results can suggest an explanation of how the structure of these channels can be both bind well to the sodium ion while allowing the ion to move through them rapidly.en
dc.description.degreeDoctor of Philosophyen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:46488en
dc.identifier.urihttps://hdl.handle.net/10919/143408en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectstochastic modelingen
dc.subjectmolecular dynamicsen
dc.subjectprotein structure-functionen
dc.titleModeling the Role of Water in Protein Structure and Functionen
dc.typeDissertationen
thesis.degree.disciplineChemistryen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.nameDoctor of Philosophyen

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