Dr. Evelyne Deplazes
Evelyne Deplazes
NHMRC Early Career Research Fellow
I am a Research Fellow at Curtin University in Perth and a visiting academic at the University of Queensland.
Contact Details
at Curtin:
Dr. Evelyne Deplazes
School of Biomedical Sciences
Faculty of Health
Bentey, WA 6102, Australia
email evelyne.deplazes|at|curtin.edu.au
Phone: +61 8 9266 56 85
at UQ:
Dr. Evelyne Deplazes
School of Chemistry and Molecular Biosciences (Molecular Dynamics group)
The University of Queensland
St. Lucia, QLD 4072, Australia
email e.deplazes|at|uq.edu.au
Phone: +61 7 3365 7562
Online reserach and publication profiles
Biosketch
I completed a double degree in Chemistry and Computer Science Curtin University in Perth, Western Australia. . During my undergraduate research project I used quantum mechanical calculations to simulate the IR and Raman spectra of histidine in solution (Deplazes et al, 2008). I then did an Honours degree in Computational Chemistry (2007), also at Curtin University, in which my research focuses on quantum mechanical calculations of transition metals for modelling the chemical and physical properties of materials.
In 2012 I was awarded my PhD in Computational Biophysics from the University of Western Australia, Perth. As part of my PhD I have developed methods for integrating structural data from spectroscopy experiments into simulations to model the gating behavior of mechanosensitive ion channels that predicted the role of specific structural domains in the gating mechanism of the channel (Deplazes et. al, 2012). I also carried out fluorescence spectroscopy experiments to study the clustering of mechanosensitive channels (Nomura et. al. 2012). In addition, my PhD project focused on using molecular dynamics and Monte Carlo simulations to aid in the analysis and interpretation of FRET spectroscopy experiments (Deplazes et. al., 2011, Deplazes et. al 2012).
After my PhD I was awarded a Postdoctoral fellowship by the Swiss National Science Foundation to work in the research groups of Prof. Alan Mark (School of Chemistry and Molecular Biosciences, UQ) and Prof. Glenn King (Institute for Molecular Bioscience, UQ). This is a collaborative project that focuses on the use of computational methods to study the molecular interactions between venom-based peptides and their ion channel targets. In addition, I work on the development of computational approaches that in combination with data from optical and spectroscopy techniques can be used to study the lipid-binding properties of peptides. In 2014 I was awarded a NHMRC Early-Career Research Fellowship to continue my work on these projects.
In 2016 I moved to Curtin University where I work as a Research Fellow at the School of Biomedical Sciences. My research focuses primarily on the use and development of Molecular Dynamics techniques and in combination with spectroscopy experiments to study the interactions of peptides with biological membranes.
Research Interests
My main research focus is the development and use of computational methods to understand the structure and dynamic properties of biomolecular systems. In particular, I am interested in using molecular dynamics (MD) simulations and docking approaches to study the structure of membrane proteins and their interactions with peptides for aiding peptide-based drug design. This also includes the evaluation of docking methods for predicting peptide-protein complexes. I also use MD simulations in combination with data from experimental techniques such as surface plasmon resonance, vibrational spectroscopy and NMR to study the binding of peptides to membranes. In addition, I am interested in developing computational methods that enable researchers to make better use of the data from spectroscopy experiment with a particular focus on vibrational spectroscopy and fluorescence resonance energy transfer (FRET).
In my research I aim to combine computational approaches with experimental validation to develop methods that allow us to accurately describe the molecular interactions that govern the function of peptides and proteins. Only through rigorously validated methods can we take advantage of the predictive power of computational methods. When applied properly, computational methods are a powerful tool to gain insight into biological processes at the atomistic level and contribute to our understanding of normal physical functions and the molecular origins of diseases.
My research allows me to integrate my knowledge and skills in chemistry, structural biology and computer science. I am experienced in a range of molecular modelling techniques and theoretical approaches including quantum mechanical calculations, Monte Carlo simulations, molecular dynamics simulations, homology modelling and docking. I am also knowledgeable in many spectroscopy methods such as infrared (IR), Raman, and fluorescence spectroscopy.
Publications
Links to all my publications can be found on my Google Scholar profile
