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The Compressed Baryonic Matter (CBM) experiment is a dedicated heavy ion collision experiment at the FAIR facility. It will be one of the first HEP experiments which works in a triggerless mode: data received in the DAQ from the detectors will not be associated with events by a hardware trigger anymore. All raw data within a giventime period will be collected continuously in containers, so-called time-slices. The task of the reconstruction algorithms is to create events out of this raw data stream. In this contribution, the optimization of the reconstruction software in the RICH detector to the free-streaming data flow is presented. The implementation of ring reconstruction algorithms which use time measurements of the hits as an additional parameter is discussed.
We derive three exact sum rules for the spectral function of the electromagnetic current with zero spatial momentum at finite temperature. Possible applications of the three sum rules to lattice computations of the spectral function and transport coefficients are also discussed: We propose an ansatz for the spectral function that can be applied to all three sum rules and fit it to available lattice data of the Euclidean vector correlator above the critical temperature. As a result, we obtain estimates for both the electrical conductivity σ and the second order transport coefficient τJ.
The simultaneous description of the hadronic yields, pion, kaon and proton spectra, elliptic flows and femtoscopy scales in hydrokinetic model of A+A collisions is presented at different centralities for the top RHIC and LHC energies. The hydrokinetic model is used in its hybrid version that allows one to switch correctly to the UrQMD cascade at the isochronic hypersurface which separates the cascade stage and decaying hydrodynamic one. The results are compared with pure hybrid model where hydrodynamics and hadronic cascade are matching just at the non-space-like hypersurface of chemical freeze-out. The initial conditions are based on both Glauber- and KLN- Monte-Carlo simulations and results are compared. It seems that the observables, especially femtoscopy data, prefer the Glauber initial conditions. The modification of the particle number ratios caused, in particular, by the particle annihilations at the afterburn stage is analyzed.
Simulations of conformational changes and enzyme-substrate interactions in protein drug targets
(2022)
Finding new drugs is a difficult, time-consuming, and costly challenge, with only a small success rate along the drug discovery pipeline of far less than 10%. The high failure rate of drug discovery projects motivates the integration of computational tools throughout the whole drug discovery pipeline, from target identification to clinical trials. Target identification is the first step in the process. A biological target, e.g., a protein that plays a role in disease, is identified and its molecular mechanism in the disease is studied. Further, a potential binding site on the target, where therapeutic molecules can bind and modulate the target’s activity, needs to be characterized. Computational tools can contribute to improving the initial molecular target elucidation and assessment.
In this thesis, I use computational, physics-based approaches to characterize binding sites of drug targets and to decipher enzyme-substrate interactions, which play a role in disease mechanisms. Molecular dynamics (MD) simulations were applied to study the dynamics of molecules in solution at high temporal and spatial resolution. The method generates time-resolved trajectories of the particles in a system of interest by integrating Newton’s equations of motion numerically, starting from a set of coordinates and velocities. In MD simulations, all atoms of a chosen system, including solvent, are represented explicitly. Atomistic simulations are especially well-suited to study detailed interactions that depend on intermolecular interactions, such as hydration effects, hydrogen bonding, hydrophobic interactions, or subtle chemical differences. System properties are inferred from the trajectories, provided that the force fields, describing the interactions between the particles in the system, have a high accuracy. The bonded and non-bonded interactions are parametrized on experimental and quantum chemical data. The purpose of MD simulations can be to gain insight into the behavior of complex biological systems at molecular level, which often cannot be observed in experiments at the same resolution. With recent advances in computer hardware and simulation software, molecular systems of increasing size and simulation length can be investigated.
In the first part of the thesis, I investigated the conformational ensemble of various protein drug targets. Proteins are dynamic biomacromolecules that can have diverse and nearly isoenergetic conformational states. Ligand binding can shift the equilibrium of this conformational ensemble and can uncover binding sites, called cryptic sites. Cryptic sites only emerge upon small molecule binding and are often flat and featureless, and thus not easily recognized in crystal structures without bound ligands. If new binding sites including cryptic sites are detected, they can potentially be exploited for binding to ligands and enable a druggable target. Druggability is the ability of a protein to bind small, drug-like molecules, which is the basis for rational drug design. In this thesis, I used state-of-the-art physics-based, computational approaches to investigate the conformational ensembles of binding sites. In all studied systems, it is known from experiment that a specific group of ligands can induce conformational changes. The aim is to sample the conformational space made accessible upon ligand binding, yet without using the specific ligand structures or details about their interactions. We are interested in sampling the
pocket conformational states and identifying the respective pocket opening mechanism. For some cases, I additionally assessed whether the observed flexibility is a feature of the protein family, or specific to the protein under consideration.
The first studied system is factor VIIa (FVIIa). FVIIa is an essential part of the coagulation cascade and hence a potential drug target for thrombotic diseases. In addition, I investigated various other trypsin-like serine proteases from the same protein family. The binding pocket of trypsin-like serine proteases is called S1 pocket. An X-ray crystal structure solved by our collaborators reveals that a b-sheet structure in the S1 pocket is distorted by a bound ligand. I resolved the conformational change with MD simulations, starting from the unbound protein structure solvated in water and ions. I observed multiple spontaneous transition events. In 7 out of 22 simulations with the b-sheet as starting structure, the S1 pocket eventually rearranged into a distorted loop structure. These transitions occurred spontaneously and were mediated by water molecules probing the backbone hydrogen bonds. The conformational change studied here controls the onset of substrate binding and catalysis. Furthermore, I used metadynamics simulation, an enhanced-sampling method, to estimate the free energy barrier of this conformational change..
The HADES collaboration has searched for the anti-kaonic nuclear cluster “ppK−” in p+p collisions by its decay into pΛ. In the course of this analysis several cross checks had to be performed. This report discusses two examples thereof. In one test it was checked whether the presence of background events could introduce a bias on the applied partial wave analysis. The second item discussed here is the extraction of the total pK+Λ production cross section necessary to derive the absolute upper limit on the “ppK−” production cross section.
The study of neutron-induced reactions is of high relevance in a wide variety of fields, ranging from stellar nucleosynthesis and fundamental nuclear physics to applications of nuclear technology. In nuclear energy, high accuracy neutron data are needed for the development of Generation IV fast reactors and accelerator driven systems, these last aimed specifically at nuclear waste incineration, as well as for research on innovative fuel cycles. In this context, a high luminosity Neutron Time Of Flight facility, n_TOF, is operating at CERN since more than a decade, with the aim of providing new, high accuracy and high resolution neutron cross-sections. Thanks to the features of the neutron beam, a rich experimental program relevant to nuclear technology has been carried out so far. The program will be further expanded in the near future, thanks in particular to a new high-flux experimental area, now under construction.
These proceedings will cover various studies of hadronic resonances within the UrQMD transport model. After a brief explanation of the model, various observables will be highlighted and the chances for resonance reconstruction in hadronic channels will be discussed. Possible signals of chiral symmetry restoration will be investigated for feasibility.
The status of the analysis of electron-positron pairs measured by ALICE in pp collisions at √s = 7 TeV and central Pb-Pb collisions at √sNN = 2.76 TeV is presented. Key questions and the main challenges of the analysis are discussed on the basis of first raw invariant mass spectra for both collision systems.
We propose an effective theory of SU(3) gluonic matter where interactions between color-electric and color-magnetic gluons are constrained by the center and scale symmetries. Through matching to the dimensionally-reduced magnetic theories, the magnetic gluon condensate qualitatively changes its thermal behavior above the critical temperature. We argue its phenomenological consequences for the thermodynamics, in particular the dynamical breaking of scale invariance.