Molecular dynamics simulations of biomolecules: membranes, peptides and multidrug efflux transporters
Molecular dynamics simulations of biomolecules: membranes, peptides and multidrug efflux transporters
Molecular dynamics (MD) is a technique that involves computational simulations of physical movement of atoms from a single lipid molecule to complex biological protein-membrane mimetic systems. With the fast advancing in computing power in recent years, bigger, more detailed and complex systems are allowed to perform on a much longer timescale. The interactions between proteins, ions and lipids inside a cell are vital for its function. Thus, this thesis focuses on investigating protein dynamics and functions in different lipid bilayer environment and system compositions. Coarse-grained and atomistic molecular dynamics simulations have been used to model biological systems both in bacterial and mammalian cells. The impact of lipid environment on the orientation of a short α-helical peptide, the fukutin transmembrane domain, from the protein fukutin, which is located in the Golgi membrane, is investigated. In particular, coarse-grained simulations are used to probe the tilt angle and oligomerisation state of fukutin transmembrane domain in different types of lipid bilayers. Furthermore, atomistic molecular dynamics simulations were used to identify interactions between the dimer formed from two fukutin transmembrane domains. The Multidrug and Toxic compound Extrusion (MATE) transporter are simulated in atomistic detail to identify the importance of protein-ion interactions, which plays a key role in its conformational change leading to substrate/drug extrusion from the bacteria inner membrane. Lastly, a novel method called inverted-topology repeats method is employed to construct an inward-facing model of a MATE transporter from the X-ray crystal structure of NorM_VC.
Leung, Yuk Ming
20384feb-566e-4022-946e-2540053fb000
19 February 2015
Leung, Yuk Ming
20384feb-566e-4022-946e-2540053fb000
Khalid, Syma
90fbd954-7248-4f47-9525-4d6af9636394
Leung, Yuk Ming
(2015)
Molecular dynamics simulations of biomolecules: membranes, peptides and multidrug efflux transporters.
University of Southampton, Chemsitry, Doctoral Thesis, 189pp.
Record type:
Thesis
(Doctoral)
Abstract
Molecular dynamics (MD) is a technique that involves computational simulations of physical movement of atoms from a single lipid molecule to complex biological protein-membrane mimetic systems. With the fast advancing in computing power in recent years, bigger, more detailed and complex systems are allowed to perform on a much longer timescale. The interactions between proteins, ions and lipids inside a cell are vital for its function. Thus, this thesis focuses on investigating protein dynamics and functions in different lipid bilayer environment and system compositions. Coarse-grained and atomistic molecular dynamics simulations have been used to model biological systems both in bacterial and mammalian cells. The impact of lipid environment on the orientation of a short α-helical peptide, the fukutin transmembrane domain, from the protein fukutin, which is located in the Golgi membrane, is investigated. In particular, coarse-grained simulations are used to probe the tilt angle and oligomerisation state of fukutin transmembrane domain in different types of lipid bilayers. Furthermore, atomistic molecular dynamics simulations were used to identify interactions between the dimer formed from two fukutin transmembrane domains. The Multidrug and Toxic compound Extrusion (MATE) transporter are simulated in atomistic detail to identify the importance of protein-ion interactions, which plays a key role in its conformational change leading to substrate/drug extrusion from the bacteria inner membrane. Lastly, a novel method called inverted-topology repeats method is employed to construct an inward-facing model of a MATE transporter from the X-ray crystal structure of NorM_VC.
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Published date: 19 February 2015
Organisations:
University of Southampton, Chemistry
Identifiers
Local EPrints ID: 374792
URI: http://eprints.soton.ac.uk/id/eprint/374792
PURE UUID: 0855ddd6-ef32-4797-9090-422d6f96e7d6
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Date deposited: 11 May 2015 10:55
Last modified: 15 Mar 2024 05:13
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Contributors
Author:
Yuk Ming Leung
Thesis advisor:
Syma Khalid
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