ERC FUNDED PROJECTS

Crucial processes within cells depend on specific non-covalent interactions which mediate the assembly of proteins and other biomolecules. Deriving structural information to understand the function of these complex systems is the primary goal of Structural Biology. In this application, the recently developed LILBID method (Laser Induced Liquid Bead Ion Desorption) will be optimized for investigation of macromolecular complexes with a mass accuracy two orders of magnitude better than in 1st generation spectrometers. Controlled disassembly of the multiprotein complexes in the mass spectrometric analysis while keeping the 3D structure intact, will allow for the determination of complex stoichiometry and connectivity of the constituting proteins. Methods for such controlled disassembly will be developed in two separate units of the proposed LILBID spectrometer, in a collision chamber and in a laser dissociation chamber, enabling gas phase dissociation of protein complexes and removal of excess water/buffer molecules. As a third unit, a chamber allowing determination of ion mobility (IM) will be integrated to determine collisional cross sections (CCS). From CCS, unique information regarding the spatial arrangement of proteins in complexes or subcomplexes will then be obtainable from LILBID. The proposed design of the new spectrometer will offer fundamentally new possibilities for the investigation of non-covalent RNA, soluble and membrane protein complexes, as well as broadening the applicability of non-covalent MS towards supercomplexes.

1 264 477 €

Start date: 2014-02-01, End date: 2019-01-31

The goal of the research program, ASTROROT, is to significantly advance the knowledge of astrochemistry by exploring its molecular complexity and by discovering new molecule classes and key chemical processes in space. So far, mostly physical reasons were investigated for the observed variations in molecular abundances. We here propose to study the influence of chemistry on the molecular composition of the universe by combining unprecedentedly high-quality laboratory spectroscopy and pioneering telescope observations. Array telescopes provide new observations of rotational molecular emission, leading to an urgent need for microwave spectroscopic data of exotic molecules. We will use newly developed, unique broadband microwave spectrometers with the cold conditions of a molecular jet and the higher temperatures of a waveguide to mimic different interstellar conditions. Their key advantages are accurate transition intensities, tremendously reduced measurement times, and unique mixture compatibility. Our laboratory experiments will motivate and guide astronomic observations, and enable their interpretation. The expected results are • the exploration of molecular complexity by discovering new classes of molecules in space, • the detection of isotopologues that provide information about the stage of chemical evolution, • the generation of abundance maps of highly excited molecules to learn about their environment, • the identification of key intermediates in astrochemical reactions. The results will significantly foster and likely revolutionize our understanding of astrochemistry. The proposed research will go far beyond the state-of-the-art: We will use cutting-edge techniques both in the laboratory and at the telescope to greatly improve and speed the process of identifying molecular fingerprints. These techniques now enable studies at this important frontier of physics and chemistry that previously would have been prohibitively time-consuming or even impossible.

1 499 904 €

Start date: 2015-05-01, End date: 2020-04-30

The use of renewable feedstocks by the chemical industry is fundamental due to both the depletion of fossil resources and the increasing pressure of environmental concerns. Biomass can act as a sustainable source of organic industrial chemicals; however, the establishment of a renewable chemical industry that is economically competitive with the present oil-based one requires the development of new processes to convert biomass-derived compounds into useful industrial materials following the principles of green chemistry. To achieve these goals, developments in several fields including heterogeneous catalysis are needed. One of the ways to accelerate the discovery of new potentially active, selective and stable catalysts is the massive use of computational chemistry. Recent advances have demonstrated that Density Functional Theory coupled to ab initio thermodynamics, transition state theory and microkinetic analysis can provide a full view of the catalytic phenomena. The aim of the present project is thus to employ these well-tested computational techniques to the development of a theoretical framework that can accelerate the identification of new catalysts for the conversion of biomass derived target compounds into useful chemicals. Since compared to petroleum-based materials-biomass derived ones are multifuncionalized, the search for new catalytic materials and processes has a strong requirement in the selectivity of the chemical transformations. The main challenges in the project are related to the high functionalization of the molecules, their liquid nature and the large number of potentially competitive reaction paths. The requirements of specificity and selectivity in the chemical transformations while keeping a reasonably flexible framework constitute a major objective. The work will be divided in three main work packages, one devoted to the properties of small molecules or fragments containing a single functional group; the second addresses competition in multiple functionalized molecules; and third is dedicated to the specific transformations of two molecules that have already been identified as potential platform generators. The goal is to identify suitable candidates that could be synthetized and tested in the Institute facilities.

1 496 200 €

Start date: 2010-10-01, End date: 2015-09-30

Combinatorial Computational Chemistry is developed as a standard tool to tackle complex problems in chemistry and materials science. The method employs a series of state-of-the-art methods, ranging from empirical molecular mechanics to first principles calculations, as well as of mathematical (graph theoretical and combinatorial) methods. The process is similar as in experimental combinatorial chemistry: First, a large set of candidate structures is generated which is complete in the sense that the best possible structure for a particular purpose must be found among the set. This structure is then identified using computational chemistry. We will apply methodologies at different stages in hierarchical order and successively screen the set of candidate structures. Screening criteria are based on the computer simulations and include geometry, stability and properties of the candidate structures. Detailed characteristics of the final materials will be simulated, including the X-ray diffraction pattern, the electronic structure, and the target properties. We will apply C3 to two important problems of environmental science. (i) We will optimise nanoporous materials to act as molecular sieves to separate water from ethanol, an important task for the production of biofuels. Here, materials are optimised to transport ethanol, but not water (or vice versa). The tuning parameters are the channel size of the material and its polarity. (ii) We will optimise nanoporous materials to transport protons, an important task for the design of energy-efficient fuel cells, by distributing flexible functional groups, acting as hopping sites for the protons, in the framework.

1 500 000 €

Start date: 2011-02-01, End date: 2016-04-30