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Professor Alan Mark
Professor

Alan Mark

Email: 

Overview

Background

We use computer based modelling techniques to understand and predict the the structural and dynamic properties of (bio)molecules including proteins and lipid aggregates.

Born in 1961, I obtained a BSc (Hon 1) at the University of Sydney in 1982. I obtained my PhD in 1986 from the John Curtin School of Medical Research, Australian National University (ANU), on the "Binding Responses Associated with Self-Interacting Ligands: Studies on the Self-Association and Receptor binding of Insulin”. After holding postdoctoral positions at the ANU, University of Groningen, The Netherlands and the Federal Institute of Technology (ETH), Zurich, Switzerland I was appointed Professor of Biophysical Chemistry (Molecular Simulation) University of Groningen, in 1998. In 1998 I also received the Swiss Ruzicka Prize for research in Chemistry for work on simulating peptide folding. In 2004 I was awarded an ARC Federation Fellowship and in February 2005 an honorary chair (Bijzonder Hoogleraar) at the University of Groningen, The Netherlands. I have given over 90 invited lectures at conferences and academic Institutions around the world as well as at a range of summer and winter schools on advanced simulation techniques.

In my research I have performed pioneering simulations of a variety of important biological phenomena, including some of the first atomic simulations of protein unfolding and the first simulations of reversible peptide folding in a realistic environment. In recent years my group performed some of the first atomic and near atomic simulations of the spontaneous aggregation of surfactant and lipid systems into micelles, bilayers and vesicles. These have enabled us, amongst other things, to elucidate the mechanism by which pores are induced within biological membranes in unprecedented detail. Over the last decade I have been intimately involved in the development of the GROMOS force field which is specifically tuned for protein and peptide folding simulations and as well as the development of models for a range of solvents including methanol and trifluoroethanol. I have also been responsible for the development of methodology for the calculations of the thermodynamic properties of biomolecular systems such as free energies of binding and hydration, as well as estimating entropic effects from simulations. Most recently, I have been responsible for the development of novel approaches to promote structure formation in protein folding simulations that can be used for the refinement of protein structures generated by ab initio or by homology methods. Finally, I am associated with two, internationally recognised, (bio)molecular simulation packages the GROningen Molecular Simulation library (GROMOS) and the GROningen Machine for Chemical Simulations (GROMACS).

Availability

Professor Alan Mark is:
Available for supervision
Media expert

Fields of research

Qualifications

  • Bachelor (Honours) of Science (Advanced), University of Sydney
  • Doctor of Philosophy, Australian National University

Works

Search Professor Alan Mark’s works on UQ eSpace

258 works between 1984 and 2024

1 - 20 of 258 works

2024

Journal Article

On the Validation of Protein Force Fields Based on Structural Criteria

Stroet, Martin, Setz, Martina, Lee, Thomas, Malde, Alpeshkumar K., van den Bergen, Glen, Sykacek, Peter, Oostenbrink, Chris and Mark, Alan E. (2024). On the Validation of Protein Force Fields Based on Structural Criteria. The Journal of Physical Chemistry B, 128 (19), 4602-4620. doi: 10.1021/acs.jpcb.3c08469

On the Validation of Protein Force Fields Based on Structural Criteria

2024

Journal Article

Molecular Insights into the Dynamics of Amyloid Fibril Growth: Elongation and Lateral Assembly of GNNQQNY Protofibrils

John, Torsten, Rampioni, Aldo, Poger, David and Mark, Alan E. (2024). Molecular Insights into the Dynamics of Amyloid Fibril Growth: Elongation and Lateral Assembly of GNNQQNY Protofibrils. ACS Chemical Neuroscience, 15 (4), 716-723. doi: 10.1021/acschemneuro.3c00754

Molecular Insights into the Dynamics of Amyloid Fibril Growth: Elongation and Lateral Assembly of GNNQQNY Protofibrils

2023

Journal Article

Engineering transferable atomic force fields: empirical optimization of hydrocarbon Lennard–Jones interactions by direct mapping of parameter space

Zhou, Zihan, Mark, Alan E. and Stroet, Martin (2023). Engineering transferable atomic force fields: empirical optimization of hydrocarbon Lennard–Jones interactions by direct mapping of parameter space. Journal of Chemical Theory and Computation, 19 (13), 4074-4087. doi: 10.1021/acs.jctc.3c00427

Engineering transferable atomic force fields: empirical optimization of hydrocarbon Lennard–Jones interactions by direct mapping of parameter space

2023

Journal Article

OFraMP: a fragment-based tool to facilitate the parametrization of large molecules

Stroet, Martin, Caron, Bertrand, Engler, Martin S., van der Woning, Jimi, Kauffmann, Aude, van Dijk, Marc, El-Kebir, Mohammed, Visscher, Koen M., Holownia, Josef, Macfarlane, Callum, Bennion, Brian J., Gelpi-Dominguez, Svetlana, Lightstone, Felice C., van der Storm, Tijs, Geerke, Daan P., Mark, Alan E. and Klau, Gunnar W. (2023). OFraMP: a fragment-based tool to facilitate the parametrization of large molecules. Journal of Computer-Aided Molecular Design, 37 (8), 357-371. doi: 10.1007/s10822-023-00511-7

OFraMP: a fragment-based tool to facilitate the parametrization of large molecules

2023

Journal Article

Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR

Kuschert, Sarah, Stroet, Martin, Chin, Yanni Ka-Yan, Conibear, Anne Claire, Jia, Xinying, Lee, Thomas, Bartling, Christian Reinhard Otto, Strømgaard, Kristian, Güntert, Peter, Rosengren, Karl Johan, Mark, Alan Edward and Mobli, Mehdi (2023). Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR. Magnetic Resonance, 4 (1), 57-72. doi: 10.5194/mr-4-57-2023

Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR

2022

Journal Article

PyThinFilm: Automated molecular dynamics simulation protocols for the generation of thin film morphologies

Stroet, Martin, Sanderson, Stephen, Sanzogni, Audrey V., Nada, Sharif, Lee, Thomas, Caron, Bertrand, Mark, Alan E. and Burn, Paul L. (2022). PyThinFilm: Automated molecular dynamics simulation protocols for the generation of thin film morphologies. Journal of Chemical Information and Modeling, 63 (1), 2-8. doi: 10.1021/acs.jcim.2c01334

PyThinFilm: Automated molecular dynamics simulation protocols for the generation of thin film morphologies

2022

Other Outputs

Australasian Computational and Simulation Commons (ACSC)

Mark, Alan E. , Stroet, Martin and Nada, Sharif (2022). Australasian Computational and Simulation Commons (ACSC). The University of Queensland. (Collection) doi: 10.48610/62d1f81

Australasian Computational and Simulation Commons (ACSC)

2022

Journal Article

Understanding the performance differences between solution and vacuum deposited OLEDs: A computational approach

Sanderson, Stephen, Vamvounis, George, Mark, Alan E., Burn, Paul L., White, Ronald D. and Philippa, Bronson W. (2022). Understanding the performance differences between solution and vacuum deposited OLEDs: A computational approach. The Journal of Chemical Physics, 156 (21) 214703, 214703. doi: 10.1063/5.0091142

Understanding the performance differences between solution and vacuum deposited OLEDs: A computational approach

2022

Journal Article

Modelling of the dynamic polarizability of macromolecules for single-molecule optical biosensing

Booth, Larnii S., Browne, Eloise V., Mauranyapin, Nicolas P., Madsen, Lars S., Barfoot, Shelley, Mark, Alan and Bowen, Warwick P. (2022). Modelling of the dynamic polarizability of macromolecules for single-molecule optical biosensing. Scientific Reports, 12 (1) 1995. doi: 10.1038/s41598-022-05586-0

Modelling of the dynamic polarizability of macromolecules for single-molecule optical biosensing

2022

Journal Article

Understanding the effect of pH on the solubility and aggregation extent of humic acid in solution by combining simulation and the experiment

Lan, Tu, Wu, Peng, Liu, Ziyi, Stroet, Martin, Liao, Jiali, Chai, Zhifang, Mark, Alan E., Liu, Ning and Wang, Dongqi (2022). Understanding the effect of pH on the solubility and aggregation extent of humic acid in solution by combining simulation and the experiment. Environmental Science and Technology, 56 (2) acs.est.1c05938, 917-927. doi: 10.1021/acs.est.1c05938

Understanding the effect of pH on the solubility and aggregation extent of humic acid in solution by combining simulation and the experiment

2021

Journal Article

Unraveling exciton processes in Ir(ppy)3:CBP OLED films upon photoexcitation

Sanderson, Stephen, Vamvounis, George, Mark, Alan E., Burn, Paul L., White, Ronald D. and Philippa, Bronson W. (2021). Unraveling exciton processes in Ir(ppy)3:CBP OLED films upon photoexcitation. The Journal of Chemical Physics, 154 (16) 164101, 164101. doi: 10.1063/5.0044177

Unraveling exciton processes in Ir(ppy)3:CBP OLED films upon photoexcitation

2021

Journal Article

On the effect of the various assumptions and approximations used in molecular simulations on the properties of bio-molecular systems: overview and perspective on issues

van Gunsteren, Wilfred F., Daura, Xavier, Fuchs, Patrick F. J., Hansen, Niels, Horta, Bruno A. C., Hünenberger, Philippe H., Mark, Alan E., Pechlaner, Maria, Riniker, Sereina and Oostenbrink, Chris (2021). On the effect of the various assumptions and approximations used in molecular simulations on the properties of bio-molecular systems: overview and perspective on issues. ChemPhysChem, 22 (3), 264-282. doi: 10.1002/cphc.202000968

On the effect of the various assumptions and approximations used in molecular simulations on the properties of bio-molecular systems: overview and perspective on issues

2020

Journal Article

Understanding the activated form of a class-I fusion protein: modeling the interaction of the Ebola virus glycoprotein 2 with a lipid bilayer

Barfoot, Shelley, Poger, David and Mark, Alan E. (2020). Understanding the activated form of a class-I fusion protein: modeling the interaction of the Ebola virus glycoprotein 2 with a lipid bilayer. Biochemistry, 59 (41) acs.biochem.0c00527, 4051-4058. doi: 10.1021/acs.biochem.0c00527

Understanding the activated form of a class-I fusion protein: modeling the interaction of the Ebola virus glycoprotein 2 with a lipid bilayer

2020

Journal Article

Evolution and morphology of thin films formed by solvent evaporation: an organic semiconductor case study

Lee, Thomas, Sanzogni, Audrey V., Burn, Paul L. and Mark, Alan E. (2020). Evolution and morphology of thin films formed by solvent evaporation: an organic semiconductor case study. ACS Applied Materials and Interfaces, 12 (36) acsami.0c08454, 40548-40557. doi: 10.1021/acsami.0c08454

Evolution and morphology of thin films formed by solvent evaporation: an organic semiconductor case study

2020

Journal Article

Editorial overview: Theory and simulation: Progress, yes; revolutions, no

Mark, Alan Edward and Peter, Christine (2020). Editorial overview: Theory and simulation: Progress, yes; revolutions, no. Current Opinion in Structural Biology, 61, iii-v. doi: 10.1016/j.sbi.2020.02.001

Editorial overview: Theory and simulation: Progress, yes; revolutions, no

2019

Journal Article

Revealing the interplay between charge transport, luminescence efficiency, and morphology in organic light‐emitting diode blends

Gao, Mile, Lee, Thomas, Burn, Paul L., Mark, Alan E., Pivrikas, Almantas and Shaw, Paul E. (2019). Revealing the interplay between charge transport, luminescence efficiency, and morphology in organic light‐emitting diode blends. Advanced Functional Materials, 30 (9) 1907942, 1907942. doi: 10.1002/adfm.201907942

Revealing the interplay between charge transport, luminescence efficiency, and morphology in organic light‐emitting diode blends

2019

Journal Article

Curved or linear? Predicting the 3‐dimensional structure of α‐helical antimicrobial peptides in an amphipathic environment

van den Bergen, Glen, Stroet, Martin, Caron, Bertrand, Poger, David and Mark, Alan E. (2019). Curved or linear? Predicting the 3‐dimensional structure of α‐helical antimicrobial peptides in an amphipathic environment. FEBS Letters, 594 (6) 1873-3468.13705, 1062-1080. doi: 10.1002/1873-3468.13705

Curved or linear? Predicting the 3‐dimensional structure of α‐helical antimicrobial peptides in an amphipathic environment

2019

Journal Article

Effect of surface roughness on light-absorber orientation in an organic photovoltaic film

Lee, Thomas, Burn, Paul L. and Mark, Alan E. (2019). Effect of surface roughness on light-absorber orientation in an organic photovoltaic film. Chemistry of Materials, 31 (17) acs.chemmater.9b01337, 6918-6924. doi: 10.1021/acs.chemmater.9b01337

Effect of surface roughness on light-absorber orientation in an organic photovoltaic film

2019

Journal Article

Response of microbial membranes to butanol: interdigitation vs. disorder

Guo, Jingjing, Ho, James C.S., Chin, Hokyun, Mark, Alan E., Zhou, Cheng, Kjelleberg, Staffan, Liedberg, Bo, Parikh, Atul N., Cho, Nam-Joon, Hinks, Jamie, Mu, Yuguang and Seviour, Thomas (2019). Response of microbial membranes to butanol: interdigitation vs. disorder. Physical Chemistry Chemical Physics, 21 (22), 11903-11915. doi: 10.1039/c9cp01469a

Response of microbial membranes to butanol: interdigitation vs. disorder

2019

Journal Article

Effect of triclosan and chloroxylenol on bacterial membranes

Poger, David and Mark, Alan E. (2019). Effect of triclosan and chloroxylenol on bacterial membranes. The Journal of Physical Chemistry B, 123 (25) acs.jpcb.9b02588, 5291-5301. doi: 10.1021/acs.jpcb.9b02588

Effect of triclosan and chloroxylenol on bacterial membranes

Funding

Current funding

  • 2023 - 2030
    ARC Centre of Excellence in Quantum Biotechnology
    ARC Centres of Excellence
    Open grant
  • 2023 - 2025
    CRACing the role of the Flavivirus NS1 protein
    NHMRC IDEAS Grants
    Open grant
  • 2022 - 2025
    Validation of predicted solution processed organic semiconductor properties
    ARC Discovery Projects
    Open grant
  • 2022 - 2025
    Enhanced force fields for computational drug design and materials research.
    ARC Discovery Projects
    Open grant

Past funding

  • 2020 - 2022
    Elucidating the morphology of organic semiconductors at an atomic level
    ARC Linkage Projects
    Open grant
  • 2019 - 2022
    Sustaining and enhancing merit-based research access to the National Computational Infrastructure (ARC LIEF project administered by ANU)
    Australian National University
    Open grant
  • 2019
    Expanding Wiener, a high performance GPU cluster
    UQ Research Facilities Infrastructure Grants
    Open grant
  • 2018 - 2021
    Improving empirical force fields: A big-data approach
    ARC Discovery Projects
    Open grant
  • 2016 - 2019
    From molecules to cells: understanding the structural and dynamic properties of cellular components at an atomic level
    UQ Fellowships
    Open grant
  • 2016 - 2018
    Maintaining and enhancing merit-based access to the NCI National Facility (ARC LIEF project administered by The Australian National University)
    Australian National University
    Open grant
  • 2016 - 2018
    Understanding biological membranes in atomic detail
    ARC Discovery Projects
    Open grant
  • 2015 - 2020
    Autotyping of United Atom Force Field Parameters
    The Procter & Gamble Co.
    Open grant
  • 2015 - 2018
    A New Paradigm for Class I Cytokine Receptor Activation
    NHMRC Project Grant
    Open grant
  • 2015 - 2017
    Force Fields for Structure Refinement and Computational Drug Design
    ARC Discovery Projects
    Open grant
  • 2014
    A parallel computer facility for modelling and simulation
    UQ Major Equipment and Infrastructure
    Open grant
  • 2013 - 2015
    Membrane proteins: Understanding biological switches, motors and triggers.
    ARC Discovery Projects
    Open grant
  • 2013 - 2015
    Selective targeting of microbes by peptides of the innate immune system
    NHMRC Project Grant
    Open grant
  • 2013 - 2016
    Understanding multidrug resistance in cancer: identification of the substrate and inhibitor binding sites in P-glycoprotein
    NHMRC Project Grant
    Open grant
  • 2012 - 2015
    Strengthening merit-based access and support at the new National Computing Infrastructure petascale supercomputing facility (ARC LIEF Grant administered by ANU)
    ARC LIEF Collaborating/Partner Organisation Contributions
    Open grant
  • 2012 - 2014
    Structural biology of bacterial lipid II-glycopeptide antibiotic interactions
    NHMRC Project Grant
    Open grant
  • 2011 - 2013
    Development of potent and selective blockers of acid sensing ion channels for the treatment of pain
    NHMRC Project Grant
    Open grant
  • 2011
    GO8 - 2011 European Fellowships - Dr Larisa Zoranic: The action of anti-microbial peptides
    Group of Eight European Fellowship
    Open grant
  • 2011 - 2017
    Understanding sub-cellular systems at the atomic level
    Vice-Chancellor's Senior Research Fellowship
    Open grant
  • 2011 - 2013
    Understanding sub-cellular systems at the atomic level
    ARC Discovery Projects
    Open grant
  • 2009 - 2011
    Development of cryopreservation for high value provenance collections of recalcitrant plant species used in post-mining restoration
    Curtin University of Technology
    Open grant
  • 2008 - 2009
    A computational facility for multi-scale modelling in bio and nanotechnology
    ARC Linkage Infrastructure, Equipment and Facilities
    Open grant
  • 2008 - 2010
    From structures to systems: A hierachical approach to understanding sub-cellular components.
    ARC Discovery Projects
    Open grant
  • 2008 - 2010
    Increasing the efficiency of biomolecular simulations
    ARC Linkage International
    Open grant
  • 2008 - 2010
    Molecular characterization of dengue virus fusion and antiviral inhibitors
    NHMRC Project Grant
    Open grant
  • 2007 - 2009
    Dynamic modelling of biomolecular systems: Going beyond classical empirical force fields.
    ARC Discovery Projects
    Open grant
  • 2005 - 2010
    Self Organisation In (Bio) Molecular Systems: Simulating The Folding And Aggregation Of Peptides, Proteins And Lipids
    ARC Federation Fellowships
    Open grant

Supervision

Availability

Professor Alan Mark is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • Understanding the mechanism of action of antimicrobial peptides

    Cytolytic antimicrobial peptides form an integral part of the innate immune system of many vertebrates including man. These antimicrobial peptides act by binding to and disrupting bacterial cell membrane. They are highly specific and increasingly recognized as a potential source of novel antibiotic agents. A major limitation in the further development of AMPs in a therapeutic setting is that the mechanism by which these peptides discriminate between different classes of membranes is still poorly understood. The aim of this project is to use computer simulation techniques elucidate the mechanism of action of cytolytic peptides at an atomic level. Specifically to study their binding to the outer membrane of specific pathogenic bacteria and determine the key structural and physico-chemical properties that allows them to distinguish between the pathogenic intruder and host cells.

  • Force fields for drug-like molecules

    A critical consideration when modelling biomolecular systems is the description of the interactions. The aim of this project is to develop and validate an automated force field topology builder (ATB; http://compbio.biosci.uq.edu.au/atb/). The ATB provides force field descriptions for drug-like molecules for use in studying the ligand-macromolecule interactions with applications in drug design and X-ray refinement.

  • From model systems to true biological membranes

    Lipid molecules are fundamental components of biological membranes. Not only do they play a role in the compartmentalization of cells and organelles but, also participate in fundamental processes such as cell division and intracellular trafficking. The aim of this project is to develop detailed models representing the membranes of specific cell types.

  • The mechanism of activation of cytokine receptors:

    The activation of cell surface receptors such as the growth hormone receptor and the epidermal growth factor receptor is a critical step in cell regulation. Molecular dynamics simulation techniques will be used to characterize the conformational changes within the extracellular and transmembrane domains that accompany the binding of the cytokine (growth hormone1 or epidermal growth factor) to its receptor thereby shedding light on the mechanism of action of cytokine receptors in general.

Supervision history

Current supervision

  • Doctor Philosophy

    Development of novel computational algorithms for biotechnological applications including molecular simulation and drug design

    Principal Advisor

  • Doctor Philosophy

    Enhanced force fields for computational drug design and materials research.

    Principal Advisor

    Other advisors: Professor Paul Burn

  • Doctor Philosophy

    Molecular basis of membrane-mediated antimicrobial resistance.

    Principal Advisor

    Other advisors: Professor Debra Bernhardt

  • Doctor Philosophy

    Developing transferable force fields to simulate biological membranes

    Principal Advisor

  • Doctor Philosophy

    Validation of predicted solution processed organic semiconductor properties

    Associate Advisor

    Other advisors: Dr Paul Shaw, Professor Paul Burn

Completed supervision

Media

Enquiries

Contact Professor Alan Mark directly for media enquiries about:

  • Atomic force fields
  • Computational drug design
  • Computer simulation - molecular
  • Drug design
  • Free energy calculations
  • GROMACS - GROningen MAchine for Chemical Simulations
  • GROMOS - force field for molecular dynamics simulation
  • Molecular dynamics
  • Molecules and computation
  • Protein folding
  • Protein structure

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