Computational Biophysics Group

Welcome to the Computational Biophysics Group at Saarland University.

We develop methods related to molecular dynamics simulations, with the aim to understand the relationship between structure, dynamics, and function of biological macromolecules.

Prof. Dr. Jochen Hub
jochen dot hub at uni-saarland.de
+49 (0)681 302-2740
Campus E2 6, room 4.11
Office: Bettina Lau
b dot lau at mx.uni-saarland.de
+49 (0)681 302-2748
Campus E2 6, room 4.12

We have several interesting Bachelor and Master projects available. Find out more.

Research Topics

Biomembranes: structural transitions, lipid-protein interactions, and membrane complexity

The function of biological membranes goes far beyond the formation of a mere barrier. Membranes are subject to ongoing structural remodeling, which is controlled by interactions with proteins and by the lipid composition. We develop free energy calculation techniques to understand how membrane composition and interactions with proteins (such as viral fusion proteins) enable functionally important events at membranes including membrane fusion, pore formation, or drug permeation.

Biomembranes: structural transitions, lipid-protein interactions, and membrane complexity
Modeling and interpretation of X-ray scattering experiments with MD simulations

Collecting experimental data is often difficult – but the interpretation of the data may be even more challenging, for instance because the information content of the experimental signals is low. We develop methods for combining MD simulations with experimental data to get the best of two worlds, with some focus on small-angle X-ray and neutron scattering data (SAXS/SANS). Our developments involve accurate SAXS/SANS predictions, protein structure and ensemble refinement, studies on the protein hydration shell, and modeling of experiments at X-ray free electron lasers. We share our methods via the web server WAXSiS and GROMACS-SWAXS.

Modeling and interpretation of X-ray scattering experiments with MD simulations
Conformational dynamics of proteins

Proteins are not static building blocks but instead carry out their function –and malfunction– by structural transitions (Structure-function-dynamics relationship). We combine MD simulations with experiential data and enhanced-sampling techniques, to observe proteins while they function in atomic detail. Our portfolio comprises studies of molecular motors, protein-RNA/DNA complexes, membrane channels, and enzymes related to cancer progression.

Conformational dynamics of proteins

Latest Publications

Pore formation in complex biological membranes: torn between evolutionary needs
Pore formation in complex biological membranes: torn between evolutionary needs

The primary function of biological membranes is to enable compartmentalization among cells and organelles. Loss of integrity by the formation of membrane pores would trigger uncontrolled depolarization or influx of toxic compounds, posing a fatal thread to living cells. How the lipid complexity of biological membranes enables mechanical stability against pore formation while simultaneously allowing ongoing membrane remodeling is largely enigmatic. We performed molecular dynamics simulations of eight complex lipid membranes including the plasma membrane and membranes of the organelles ER, Golgi, lysosome, and mitochondrion. To quantify the mechanical stability of these membranes, we computed the free energies for nucleating a transmembrane pore as well as the line tension along the rim of open pores. Our simulations reveal that complex biological membranes are overall remarkably stable, however with the plasma membrane standing out as exceptionally stable, which aligns with its crucial role as a protective layer. We observe that sterol content is the main regulator for biomembrane stability, and that lateral sorting among lipid mixtures influences the energetics of membrane pores. A comparison of 25 model membranes with varying sterol content, tail length, tail saturation, and head group type shows that the pore nucleation free energy is mostly associated with the lipid tilt modulus, whereas the line tension along the pore rim is determined by the lipid intrinsic curvature. Together, our study provides an atomistic and energetic view on the role of lipid complexity on biomembrane stability.

Meet the Team

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Noora Aho

Postdoc

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Joel Chavarria Rivera

Master student

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Jochen Hub

Professor of Computational Biophysics

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Bettina Lau

Secretary

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Johanna Linse

PhD student

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Mareike Oellers

Master student

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Leonhard Starke

PhD student

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Vasily Unguryan

PhD student

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Maciej Wójcik

Master student

Funding

Present and former