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

Viral fusion proteins of classes II and III recognize and reorganize complex biological membranes
Viral fusion proteins of classes II and III recognize and reorganize complex biological membranes

Viral infection requires stable binding of viral fusion proteins to host membranes, which contain hundreds of lipid species. The mechanisms by which fusion proteins utilize specific host lipids to drive virus–host membrane fusion remains elusive. We conducted molecular simulations of classes I, II, and III fusion proteins interacting with membranes of diverse lipid compositions. Free energy calculations reveal that class I fusion proteins generally exhibit stronger membrane binding compared to classes II and III — a trend consistent across 74 fusion proteins from 13 viral families as suggested by sequence analysis. Class II fusion proteins utilize a lipid binding pocket formed by fusion protein monomers, stabilizing the initial binding of monomers to the host membrane prior to assembling into fusogenic trimers. In contrast, class III fusion proteins form a lipid binding pocket at the monomer–monomer interface through a unique fusion loop crossover. The distinct lipid binding modes correlate with the differing maturation pathways of classes II and III proteins. Binding affinity was predominantly controlled by cholesterol and gangliosides as well as via local enrichment of polyunsaturated lipids, thereby locally enhancing membrane disorder. Our study reveals energetics and atomic details underlying lipid recognition and reorganization by different viral fusion protein classes, offering insights into their specialized membrane fusion pathways.

Structural insights into tecovirimat antiviral activity and poxvirus resistance
Structural insights into tecovirimat antiviral activity and poxvirus resistance

Mpox is a zoonotic disease endemic to Central and West Africa. Since 2022, two human-adapted monkeypox virus (MPXV) strains have caused large outbreaks outside these regions. Tecovirimat is the most widely used drug to treat mpox. It blocks viral egress by targeting the viral phospholipase F13; however, the structural details are unknown, and mutations in the F13 gene can result in resistance against tecovirimat, raising public health concerns. Here we report the structure of an F13 homodimer using X-ray crystallography, both alone (2.1 Å) and in complex with tecovirimat (2.6 Å). Combined with molecular dynamics simulations and dimerization assays, we show that tecovirimat acts as a molecular glue that promotes dimerization of the phospholipase. Tecovirimat resistance mutations identified in clinical MPXV isolates map to the F13 dimer interface and prevent drug-induced dimerization in solution and in cells. These findings explain how tecovirimat works, allow for better monitoring of resistant MPXV strains and pave the way for developing more potent and resilient therapeutics.

Meet the Team

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Noora Aho

Postdoc

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Lucas Andersen

Master student

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Joel Chavarria Rivera

Master student

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Noah Garber

PhD 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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Maciej Wójcik

Master student

Funding

Present and former