
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Funding
Current funding
Past funding
Supervision
Availability
- Professor Alan Mark is:
- Available for supervision
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Available projects
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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.
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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.
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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.
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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
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Doctor Philosophy
Enhanced force fields for computational drug design and materials research.
Principal Advisor
Other advisors: Professor Paul Burn
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Doctor Philosophy
Investigation of pH-dependent bacterial transporters
Principal Advisor
Other advisors: Professor Debra Bernhardt
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Doctor Philosophy
Developing transferable force fields to simulate biological membranes
Principal Advisor
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Doctor Philosophy
Development of novel computational algorithms for biotechnological applications including molecular simulation and drug design
Principal Advisor
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Doctor Philosophy
Validation of predicted solution processed organic semiconductor properties
Associate Advisor
Other advisors: Associate Professor Paul Shaw, Professor Paul Burn
Completed supervision
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2024
Doctor Philosophy
Developing transferable force fields to simulate biological membranes
Principal Advisor
-
2024
Doctor Philosophy
Investigating the mechanisms of growth and morphology of organic thin films
Principal Advisor
Other advisors: Professor Paul Burn
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2023
Doctor Philosophy
Understanding Protein Mediated Membrane Fusion
Principal Advisor
Other advisors: Professor Brett Collins
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2022
Doctor Philosophy
Modelling Glycogen Structure and Metabolism
Principal Advisor
Other advisors: Professor Bob Gilbert
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2022
Doctor Philosophy
Understanding How Antimicrobial Peptides Interact with Membranes
Principal Advisor
Other advisors: Professor Mikael Boden
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2021
Doctor Philosophy
Computational approaches to determine the relevant chemical species in drug design
Principal Advisor
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2019
Doctor Philosophy
Improving Automated Force Field Parametrisation for Molecular Simulation: A Graph Approach
Principal Advisor
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2018
Doctor Philosophy
Improving the Accuracy of Molecular Dynamics Simulations: Parameterisation of Interaction Potentials for Small Molecules
Principal Advisor
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2017
Doctor Philosophy
Signals in Motion: Determining How Signal Transduction is Mechanically Coupled Through Type-I Cytokine Receptors
Principal Advisor
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2016
Doctor Philosophy
Development and validation of the force field parameters for drug-like molecules and their applications in structure-based drug design
Principal Advisor
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2015
Doctor Philosophy
Understanding multidrug resistance: Molecular Dynamics studies of ligand recognition by P-glycoprotein
Principal Advisor
Other advisors: Professor Megan O'Mara
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2013
Doctor Philosophy
Targeting the membrane: molecular dynamics studies of protein-membrane interactions.
Principal Advisor
Other advisors: Professor Megan O'Mara
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2013
Doctor Philosophy
The application of free energy calculations and molecular dynamics simulations to drug design
Principal Advisor
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2011
Doctor Philosophy
Effect of external conditions on membrane-protein interactions
Principal Advisor
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2009
Master Philosophy
Molecular Dynamics on a Grand Scale: Towards large-scale atomistic simulations of self-assembling biomolecular systems
Principal Advisor
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2017
Doctor Philosophy
Conservative interpretation of small-angle X-ray scattering data from biological macromolecules.
Associate Advisor
Other advisors: Professor Bostjan Kobe
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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