Computational investigation of membrane proteins across species and functional classes
Hasdemir, Hale Siir
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https://hdl.handle.net/2142/132648
Description
Title
Computational investigation of membrane proteins across species and functional classes
Author(s)
Hasdemir, Hale Siir
Issue Date
2025-11-24
Director of Research (if dissertation) or Advisor (if thesis)
Tajkhorshid, Emad
Doctoral Committee Chair(s)
Tajkhorshid, Emad
Committee Member(s)
Das, Aditi
Shukla, Diwakar
Pogorelov, Taras
Department of Study
School of Molecular & Cell Bio
Discipline
Biophysics & Quant Biology
Degree Granting Institution
University of Illinois Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Membrane
Membrane protein
Molecular dynamics
Lipid–protein interactions
Peripheral membrane protein
Integral membrane protein
Beta-2-glycoprotein I
Antiphospholipid syndrome
Cytochrome P450
Cannabinoid metabolism
Free energy perturbation
ABC transporter
BmrCD
Multidrug resistance
LetAB
Lipid transport
Phospholipid translocation
Computational biophysics
Abstract
Membrane proteins play central roles in cellular communication, metabolism, and homeostasis, yet experimental characterization of their dynamic interactions with membranes remains highly challenging. In this dissertation, I implement advanced molecular dynamics (MD) simulation workflows to investigate the conformational dynamics, substrate recognition, and lipid-mediated regulatory mechanisms of a diverse set of membrane-associated proteins across species and functional classes, spanning both peripheral and integral membrane proteins. I characterize the membrane-binding mechanism of human beta-2-glycoprotein I, revealing key electrostatic and hydrophobic interactions that drive anionic lipid recognition and identifying a previously unreported lipid-interaction site within its membrane-binding domain. I then explore substrate binding in human cytochrome P450 2J2 using molecular docking, MD simulations, and free energy perturbation calculations, elucidating structural determinants governing regioselective cannabinoid metabolism. Next, I examine lipid-dependent stabilization of the ATP-binding cassette transporter BmrCD from Bacillus subtilis, showing how specific membrane interactions contribute to efflux function and multidrug resistance mechanisms in Gram-positive bacteria. Finally, I investigate LetAB from Escherichia coli, a recently identified lipid transporter that spans the bacterial cell envelope, using atomistic simulations to define a putative phospholipid translocation pathway and establish the functional role of LetA in intermembrane lipid trafficking. Together, these studies demonstrate how computational biophysics can overcome long-standing barriers in membrane protein research by enabling atomic-scale resolution of lipid–protein coupling, rare conformational transitions, and catalytic processes inaccessible to experiment alone, ultimately advancing our understanding of membrane-associated protein function and informing therapeutic and antimicrobial strategies targeting these essential systems.
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