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University of Illinois Urbana-Champaign

Computational investigation of membrane proteins across species and functional classes

Abstract

dc:description

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.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Biophysics & Quant Biology
Grantor
University of Illinois Urbana-Champaign
Year dc:date
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hasdemir, Hale Siir
Contributors dc:contributor
  • Tajkhorshid, Emad
  • Das, Aditi
  • Shukla, Diwakar
  • Pogorelov, Taras

Subjects

dc:subject × 18

Rights

dc:rights
Statement dc:rights
  • Copyright 2025 Hale Siir Hasdemir
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/132648
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/132648

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hasdemir, Hale Siir. Computational investigation of membrane proteins across species and functional classes. Dissertation thesis, University of Illinois Urbana-Champaign, 2025. https://hdl.handle.net/2142/132648