Computational Biomolecular Chemistry

understand, predict & design

Welcome

Our aim is to understand and ultimately tailor the chemical properties of biomolecular systems. To achieve our goals we develop new strategies to combine advanced molecular dynamics techniques with high-level quantum chemistry approaches. Our developments are made available to other researchers in the molecular dynamics program package Gromacs.

Currently, there are vacancies for postdocs, phd students and master's students. If you would like to join us, let us know!

On our website you find information on:

why we do this

what we are working on at the moment

who we are

our publications

the QM/MM implementation in Gromacs

inserting membrane proteins with Gromacs

Course material for Biophysik II

Course material for computational biophysics I


Motivation

Interaction between biology, physics, and chemistry is presently providing a window into the exciting new era of biotechnology. Enzymes, in particular, that can catalyze chemical reactions with a high efficiency and under very mild conditions, provide valuable templates for artificial devices that we will need to meet the challenges of the 21st century. Mimicking biochemical processes however, requires complete understanding of the underlying molecular dynamics. As the relevant time and spatial resolution are notoriously hard to access experimentally, computer simulations are the methods of choice to deepen our understanding of how proteins have evolved to mediate chemical reactions and to use these insight to create devices that mimic biological function.

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Research

Here is an overview of the projects that we are working on. As we always try to think of new projects, and finish old ones, this list will never be completely up-to-date. The group is always looking for motivated people to join our efforts. Thus, if you are interested in one of the projects, or would like to see one of your projects added to the list, let us know!

  • Computational Photochemistry

    Organisms have evolved a wide variety of mechanisms to utilize and respond to light. In many cases, the biological response is mediated by structural changes that follow photon absorption. These reactions typically occur at femto- to picosecond timescales, and are thus within reach of QM/MM molecular dynamics simulations.

    AsFP, a switchable fluorescen t protein..

    In our simulations, we use a multi-configurational quantum mechanical (QM) description (CASSCF, CASPT2) to model the electronic rearrangement for those parts of the system that are involved in the absorption. For the remainder, typically consisting of the apoprotein and the solvent, a simple forcefield model (MM) suffices.QM/MM gradients are computed on-the-fly, and a diabatic surface hopping procedure is used to model the excited state decay. We have demonstrated the validity of this hybrid QM/MM approach for photobiological reactions in recent applications on photoactivation of photoreceptor proteins, on photo-switching of fluorescent proteins and on benign and malign photochemical reactions in DNA. In addition to providing quantities that are experimentally accessible, such as structural intermediates, fluorescence lifetimes, quantum yields and spectra, the simulations provide also information that is much more difficult to measure experimentally, such as reaction mechanisms and the influence of individual aminoacid residues.

    Potential energy surfaces on which photochemical reactions take place.

    In a new project, funded by the Volkswagen Foundation, we aim to go one step further and use computer simulation to design mutants with desired photochemical properties. This way we hope to contribute to new developments in for instance bio-imaging, and information technology.

    Photoisomerization of the chromophore in the photoactive yellow protein, as observed in a molecular dynamics trajectory.

  • Electron and Proton Transfer

    Electron transfer lies at the heart of biology. Despite the availability of high-resolution x-ray structures of many of the protein complexes involved in photosynthesis and metabolism, the mechanistic details of how electron transfer occurs at a molecular level are still unclear. Our current understanding of electron transfer reactions is based on empirical models, such as Marcus theory, which only provide a qualitative non-atomistic picture and cannot be used to design new systems. To find out in atomistic detail how proteins have evolved to meditate electron transfer processes and how they reach the observed high efficiencies a more general formulation of electron transfer is required.
    Photosynthetic reaction cente r embedded in a lipid bilayer.

    Electron transfer is driven by geometrical distortions that change the molecular orbitals. In biological systems these distortions are often imposed by the protein environment. In addition, the response of the environment upon changes in oxidation state of the prostetic groups can have a strong dynamic effect as well.

  • Radiation Damage

    Exposure to high doses of high-energy radiation causes irreversible damage in biological matter. At lower doses alteration of the genetic information is possible, leading to mutations. Despite the relevance of these processes in biology, little is known about the mechanism by which irradiation can cause destruction or mutation.

    DNA with a thymine dimer that was formed after absorption of UV light.

    Using the multi-reference (CASSCF) electronic structure method to compute the forces acting on the nuclei at each step of the molecular dynamics simulation, the response of the system to the irradiation can be studied in atomic detail. Although we thus far addressed only photochemical reactions initiated by optical transitions in biomolecules, there are no restrictions on using our approach to simulate also the effect of other radiation types on biomolecules, including DNA and cell membranes.

    Dimerization of two stacked thymine bases in a single DNA strand after absorption of a UV photon.

  • Molecular Dynamics at constant pH

    In standard molecular dynamics simulations protons are assigned to titrating sites at the start of the simulation and not allowed to change. However, in proteins the protonation is intimately linked to conformation. Conformational changes can induce changes in protonation state, and vice versa. To take this correlations into account, we have developed a technique that treats protons as additional dynamic variables. Protons can be created and annihilated on-the-fly, depending on interactions with the local environment the and the pH. The latter is a parameter that users of the gromacs MD program can set. With this approach, we have a means to study the effect of pH on biomolecular processes, including catalysis (see below). Also, we have now a means to 'equilibrate' protons in x-ray structures, that do not show their positions.

  • Enzyme Dynamics

    The QM/MM method has become an established tool in computational enzymatics. However, in most QM/MM studies, only the electrostatic effect of the protein environment is considered. Dynamic contributions are often overlooked. Protein motions can correlate strongly with the reaction dynamics, suggesting why mutations far from the active site can affect the catalysis.

    Active site of Triosephosphate Isomeraze.

    Computing dynamic trajectories at room temperature (300 K) is therefore more realistic than calculating the minimum energy pathway (0 K), in which important entropic effects are ignored. However, most enzymatic reactions are relatively slow processes, ranging from microseconds to seconds, and are thus out of reach for even the most efficient QM/MM sampling schemes available today. In contrast, with the right choice of simulation protocol the lower range of these time scales can be achieved in classical MD simulations. Therefore, to explore the effect of the enzyme dynamics on catalytic processes we combine long-term classical sampling with occasional short QM/MM simulations.

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    People

    Principal Investigator
    • Gerrit Groenhof (ggroenh gwdg.de)

    Postdoctoral fellows

    • Maarten Wolf (mwolf gwdg de)
    • vacancy

    Phd students

    • Sarath Chandra Dantu (dsarath gwdg de)
    • Maike Clemens
    • vacancy

    Master students

    • Master's projects avaible; contact us if you're interested

    Guests

    • Ricardo Matute

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    Publications

    Articles in peer-reviewed journals:

    • Woehri, A., G. Katona, L. C. Johansson, E. Fritz, E. Malmerberg, M. Andersson, J. Vincent, M. Eklund, M. Cammarata, M. Wulff, J. Davidsson, G. Groenhof and R. Neutze.
      Light-induced structural changes in a photosynthetic reaction center caught by Laue diffraction.
      Science, 328 (2010), 630-633.

    • Brakemann, T., G. Weber, M. Andresen, G. Groenhof, A. C. Stiel, S. Trowitzsch, C. Eggeling, H. Grubmueller, S. W. Hell, M. Wahl and S. Jakobs.
      Molecular basis of the light-driven switching of the photochromic fluorescent protein padron.
      Journal of Biological Chemistry, 285 (2010), 14603-14609.

    • M. G. Wolf, M. Hoefling, C. Aponte-Santamaria, H. Grubmueller, G. Groenhof.
      g membed: Efficient insertion of a membrane protein into an equilibrated lipid bilayer with minimal perturbation.
      Journal of Computational Chemistry, 31 (2010), 2169-2174.

    • G. Groenhof, M. Boggio-Pasqua, M.A. Robb.
      Computer Simulations of Photobiological Processes: the effect of the protein environment.
      Advances in Quantum Chemistry, 59 (2010), 181-212.

    • M. Boggio-Pasqua, M.A. Robb, G. Groenhof.
      Hydrogen bonding controls excited-state decay of the Photoactive Yellow Protein chromophore.
      Journal of the American Chemical Society, 131 (2009), 13581-13581.

    • S. Donnini, A.W. Villa, G. Groenhof, A.E. Mark, R.K. Wierenga, A.H. Juffer.
      Inclusion of ionization states of ligands in affinity calculations.
      Proteins: Structure, Function, and Bioinformatics, 76 (2009), 138-159.

    • E. Fabiano, G. Groenhof and W. Thiel.
      Approximate switching algorithms for trajectory surface hopping.
      Chemical Physics 351 (2008), 111-116.

    • L.V. Schaefer, G. Groenhof, M. Boggio-Pasqua, M.A. Robb and H. Grubmueller.
      Protein environment controls photoswitching of the asFP595 chromophore.
      PLoS computational biology, 4 (2008), e1000034.

    • G. Groenhof, L.V. Schaefer, M. Boggio-Pasqua, H. Grubmueller and M.A. Robb.
      Arginine52 controls the photoisomerization process in photoactive yellow protein.
      Journal of the American Chemical Society, 130 (2008), 3250-3251.

    • M. Boggio-Pasqua, G. Groenhof, L.V. Schaefer, H. Grubmueller and M.A. Robb.
      Ultra-fast deactivation channel for thymine dimerization.
      Journal of the American Chemical Society, 129 (2007), 10996-10997.

    • G. Groenhof, L.V. Schaefer, M. Boggio-Pasqua, M. Goette, H. Grubmueller and M.A. Robb.
      Ultra-fast excited state decay of a cytosine-guanine basepair in DNA.
      Journal of the American Chemical Society, 129 (2007), 6812-6819.

    • L.V. Schaefer, G. Groenhof, A.R. Klingen, G.M. Ullmann, M. Boggio-Pasqua, M.A. Robb and H. Grubmueller.
      Photoswitching of the Fluorescent Protein asFP595: Mechanism, Proton Pathway, and Absorption Spectra.
      Angewandte Chemie, Int. Ed. 119 (2007), 530-536.

    • S. Donnini, G. Groenhof, R.K. Wieringa, and A.H. Juffer.
      The Planar Conformation of a Strained Proline Ring: a QM/MM Study.
      Proteins: Structure, Function, and Bioinformatics, 64 (2006), 700-710.

    • D. van der Spoel, E. Lindahl, B. Hess, G. Groenhof, A.E. Mark and H.J.C. Berendsen.
      Gromacs: Fast, Flexible and Free.
      Journal of Computational Chemistry, 26 (2005): 1701-1718.

    • G. Groenhof, M. Bouxin-Cademartory, B. Hess, S.P. de Visser, H.J.C. Berendsen, M. Olivucci, A.E. Mark and M.A. Robb.
      Photoactivation of the Photoactive Yellow Protein: Why photon absorption triggers a trans-to-cis isomerization of the chromophore in the protein.
      Journal of the American Chemical Society, 126 (2004), 4228-4233.

    • G. Groenhof, M.F. Lensink, H.J.C. Berendsen and A.E. Mark.
      Signal Transduction in the Photoactive Yellow Protein. II: Proton Transfer Initiates Conformational Changes.
      Proteins: Structure, Function, and Genetics, 48 (2002), 212-223.

    • G. Groenhof, M.F. Lensink, J.G. Snijders, H.J.C. Berendsen and A.E. Mark.
      Signal Transduction in the Photoactive Yellow Protein. I: Photon Absorption and the Isomerization of the Chromophore.
      Proteins: Structure, Function, and Genetics, 48 (2002), 202-211.

    Book Chapters

    • G. Groenhof, L.V. Schaefer, M. Boggio-Pasqua, M.A. Robb.
      Excited state dynamics in biomolecules
      In "Handbook of Molecular Biophysics"
      Ed. H. Bohr, Wiley, New York (2009)

    • M.A. Robb, M.J. Bearpark, M. Boggio-Pasqua, P.A. Hunt, M. Paterson, M. Olivucci, L. Blancafort and G. Groenhof.
      Conical Intersections and Photochemical Mechanisms: Characterizing the Conical Intersection Hyperline using Gradients, Second Derivatives, and Dynamics
      In "Quantum Dynamics at Conical Intersections"
      Ed. S. Althorpe and G. Worth, CPP6, Warrington (2004): 1-3.

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    QM/MM development

    QM/MM webpage

    QM/MM tutorials

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    Inserting membrane proteins

    We have written a small program to insert a protein into equilibrated lipid bilayer systems. We hope it will be useful for your research.

    g_membed webpage

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    pdf files von vorlesung un uebungen

  • part_I.pdf
  • exercises_I.pdf

    files von vorlesung und practicals

  • Practical Quantum Chemistry
  • Comp_bioph_I.pdf