@misc{WeberBeckerKoeppenetal.2007, author = {Weber, Marcus and Becker, Roland and K{\"o}ppen, Robert and Durmaz, Vedat}, title = {Classical hybrid Monte-Carlo simulations of the interconversion of hexabromocyclododecane}, organization = {Zuse-Institut Berlin}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-10308}, number = {07-31}, year = {2007}, abstract = {In this paper, we investigate the interconversion processes of the major flame retardant -- 1,2,5,6,9,10-hexabromocyclododecane (HBCD) -- by the means of statistical thermodynamics based on classical force-fields. Three ideas will be presented. First, the application of classical hybrid Monte-Carlo simulations for quantum mechanical processes will be justified. Second, the problem of insufficient convergence properties of hybrid Monte-Carlo methods for the generation of low temperature canonical ensembles will be solved by an interpolation approach. Furthermore, it will be shown how free energy differences can be used for a rate matrix computation. The results of our numerical simulations will be compared to experimental results.}, language = {en} } @article{SpahnDelVecchioLabuzetal.2017, author = {Spahn, Viola and Del Vecchio, Giovanna and Labuz, Dominika and Rodriguez-Gaztelumendi, Antonio and Massaly, N. and Temp, Julia and Durmaz, Vedat and Sabri, P. and Reidelbach, Marco and Machelska, Halina and Weber, Marcus and Stein, Christoph}, title = {A nontoxic pain killer designed by modeling of pathological receptor conformations}, volume = {355}, journal = {Science}, number = {6328}, doi = {10.1126/science.aai8636}, pages = {966 -- 969}, year = {2017}, language = {en} } @incollection{DurmazFackeldeyWeber2011, author = {Durmaz, Vedat and Fackeldey, Konstantin and Weber, Marcus}, title = {A rapidly Mixing Monte Carlo Method for the Simulation of Slow Molecular Processes}, booktitle = {Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science}, editor = {Mode, Ch.}, publisher = {InTech}, year = {2011}, language = {en} } @article{WeberBeckerKoeppenetal.2008, author = {Weber, Marcus and Becker, Roland and K{\"o}ppen, Robert and Durmaz, Vedat}, title = {Classical hybrid Monte-Carlo simulations of the interconversion of hexabromocyclododecane}, volume = {34}, journal = {Journal of Molecular Simulation}, number = {7}, pages = {727 -- 736}, year = {2008}, language = {en} } @article{KoeppenRiedelProskeetal.2012, author = {K{\"o}ppen, Robert and Riedel, Juliane and Proske, Matthias and Drzymala, Sarah and Rasenko, Tatjana and Durmaz, Vedat and Weber, Marcus and Koch, Matthias}, title = {Photochemical trans-/cis-isomerization and quantification of zearalenone in edible oils}, volume = {60}, journal = {J. Agric. Food Chem.}, doi = {10.1021/jf3037775}, pages = {11733 -- 11740}, year = {2012}, language = {en} } @article{DurmazWeberBecker2012, author = {Durmaz, Vedat and Weber, Marcus and Becker, Roland}, title = {How to Simulate Affinities for Host-Guest Systems Lacking Binding Mode Information: application to the liquid chromatographic separation of hexabromocyclododecane stereoisomers}, volume = {18}, journal = {Journal of Molecular Modeling}, doi = {10.1007/s00894-011-1239-5}, pages = {2399 -- 2408}, year = {2012}, language = {en} } @article{KoeppenBeckerWeberetal.2009, author = {K{\"o}ppen, Robert and Becker, Roland and Weber, Marcus and Durmaz, Vedat and Nehls, Irene}, title = {HBCD stereoisimers: Thermal interconversion and enantiospecific trace analysis in biota}, volume = {70}, journal = {Organohalogen Compounds}, pages = {910 -- 913}, year = {2009}, language = {en} } @article{WeberDurmazBeckeretal.2009, author = {Weber, Marcus and Durmaz, Vedat and Becker, Roland and Esslinger, Susanne}, title = {Predictive Identification of Pentabromocyclododecane (PBCD) Isomers with high Binding Affinity to hTTR}, volume = {71}, journal = {Organohalogen Compounds}, pages = {247 -- 252}, year = {2009}, language = {en} } @misc{Durmaz2009, type = {Master Thesis}, author = {Durmaz, Vedat}, title = {Theoretical Investigations on HBCD and PBCD}, year = {2009}, language = {en} } @phdthesis{Durmaz2016, author = {Durmaz, Vedat}, title = {Atomistic Binding Free Energy Estimations for Biological Host-Guest Systems}, publisher = {FU Dissertationen Online}, pages = {216}, year = {2016}, abstract = {Accurate quantifications of protein-ligand binding affinities by means of in silico methods increasingly gain importance in various scientific branches including toxicology and pharmacology. In silico techniques not only are generally less demanding than laboratory experiments regarding time as well as cost, in particular, if binding assays or synthesis protocols need to be developed in advance. At times, they also provide the only access to risk assessments on novel chemical compounds arising from biotic or abiotic degradation of anthropogenic substances. However, despite the continuous technological and algorithmic progress over the past decades, binding free energy estimations through molecular dynamics simulations still pose an enormous computational challenge owed to the mathematical complexity of solvated macromolecular systems often consisting of hundreds of thousands of atoms. The goals of this thesis can roughly be divided into two categories dealing with different aspects of host-guest binding quantification. On the one side algorithmic strategies for a comprehensive exploration and decomposition of conformational space in conjunction with an automated selection of representative molecular geometries and binding poses have been elaborated providing initial structures for free energy calculations. In light of the dreaded trapping problem typically associated with molecular dynamics simulations, the focus was laid on a particularly systematic generation of representatives covering a broad range of physically accessible molecular conformations and interaction modes. On the other side and ensuing from these input geometries, binding affinity models based on the linear interaction energy (LIE) method have been developed for a couple of (bio)molecular systems. The applications included a successful prediction of the liquid-chromatographic elution order as well as retention times of highly similar hexabromocyclododecane (HBCD) stereoisomers, a novel empirical LIE-QSAR hybrid binding affinity model related to the human estrogen receptor α (ERα), and, finally, the (eco)toxicological prioritization of transformation products originating from the antibiotic sulfamethoxazole with respect to their binding affinities to the bacterial enzyme dihydropteroate synthase. Altogether, a fully automated approach to binding mode and affinity estimation has been presented that is content with an arbitrary geometry of a small molecule under observation and a spatial vector specifying the binding site of a potential target molecule. According to our studies, it is superior to conventional docking and thermodynamic average methods and primarily suggesting binding free energy calculation on the basis of several heavily distinct complex geometries. Both chromatographic retention times of HBCD and binding affinities to ERα yielded squared coefficients of correlation with experimental results significantly higher than 0.8. Approximately 85 \% (100 \%) of predicted receptor-ligand binding modes deviated less than 1.53 {\AA} (2.05 {\AA}) from available crystallographic structures.}, language = {en} } @misc{WeberDurmazSabrietal.2017, author = {Weber, Marcus and Durmaz, Vedat and Sabri, Peggy and Reidelbach, Marco}, title = {Supplementary simulation data for Science Manuscript ai8636}, doi = {10.12752/5.MWB.1.0}, year = {2017}, abstract = {The simulation data has been produced by Vedat Durmaz, Peggy Sabri and Marco Reidelbach inside the "Computational Molecular Design" Group headed by Marcus Weber at Zuse-Institut Berlin, Takustr. 7, D-14195 Berlin, Germany. The file contains classical simulation data for different fentanyl derivates in the MOR binding pocket at different pHs. It also includes instruction files for quantum-chemical pKa-value estimations and a description of how we derived the pKa-values from the Gaussian09 log-files.}, language = {en} } @article{KoschekDurmazKrylovaetal.2015, author = {Koschek, and Durmaz, Vedat and Krylova, and Wieczorek, and Gupta, Pooja and Richter, and Bujotzek, Alexander and Fischer, and Haag, Rainer and Freund, and Weber, Marcus and Rademann,}, title = {Peptide polymer ligands for a tandem WW-domain, a soft multivalent protein-protein interaction: lessons on the thermodynamic fitness of flexible ligands}, volume = {11}, journal = {Beilstein J. Org. Chem.}, pages = {837 -- 847}, year = {2015}, language = {en} } @article{DurmazWeberMeyeretal.2015, author = {Durmaz, Vedat and Weber, Marcus and Meyer, and M{\"u}ckter,}, title = {Computergest{\"u}tzte Simulationen zur Absch{\"a}tzung gesundheitlicher Risiken durch anthropogene Spurenstoffe der Wassermatrix}, volume = {3/15}, journal = {KA Korrespondenz Abwasser, Abfall}, pages = {264 -- 267}, year = {2015}, language = {de} } @article{AndraeMerkelDurmazetal.2014, author = {Andrae, Karsten and Merkel, Stefan and Durmaz, Vedat and Fackeldey, Konstantin and K{\"o}ppen, Robert and Weber, Marcus and Koch, Matthias}, title = {Investigation of the Ergopeptide Epimerization Process}, volume = {2}, journal = {Computation}, number = {3}, doi = {10.3390/computation2030102}, pages = {102 -- 111}, year = {2014}, abstract = {Ergopeptides, like ergocornine and a-ergocryptine, exist in an S- and in an R-configuration. Kinetic experiments imply that certain configurations are preferred depending on the solvent. The experimental methods are explained in this article. Furthermore, computational methods are used to understand this configurational preference. Standard quantum chemical methods can predict the favored configurations by using minimum energy calculations on the potential energy landscape. However, the explicit role of the solvent is not revealed by this type of methods. In order to better understand its influence, classical mechanical molecular simulations are applied. It appears from our research that "folding" the ergopeptide molecules into an intermediate state (between the S- and the R-configuration) is mechanically hindered for the preferred configurations.}, language = {en} } @article{AndraeDurmazFackeldeyetal.2013, author = {Andrae, Karsten and Durmaz, Vedat and Fackeldey, Konstantin and Scharkoi, Olga and Weber, Marcus}, title = {Medizin aus dem Computer}, volume = {62}, journal = {Der Anaesthesist}, number = {7}, publisher = {Springer}, doi = {10.1007/s00101-013-2202-x}, pages = {561 -- 557}, year = {2013}, language = {de} } @article{DurmazSchmidtSabrietal.2013, author = {Durmaz, Vedat and Schmidt, Sebastian and Sabri, Peggy and Piechotta, Christian and Weber, Marcus}, title = {A hands-off linear interaction energy approach to binding mode and affinity estimation of estrogens}, volume = {53}, journal = {Journal of Chemical Information and Modeling}, number = {10}, pages = {2681 -- 2688}, year = {2013}, language = {en} } @article{Durmaz2015, author = {Durmaz, Vedat}, title = {Markov model-based polymer assembly from force field-parameterized building blocks}, volume = {29}, journal = {Journal of Computer-Aided Molecular Design}, doi = {10.1007/s10822-014-9817-0}, pages = {225 -- 232}, year = {2015}, abstract = {A conventional by hand construction and parameterization of a polymer model for the purpose of molecular simulations can quickly become very workintensive and time-consuming. Using the example of polyglycerol, I present a polymer decompostion strategy yielding a set of five monomeric residues that are convenient for an instantaneous assembly and subsequent force field simulation of a polyglycerol polymer model. Force field parameters have been developed in accordance with the classical Amber force field. Partial charges of each unit were fitted to the electrostatic potential using quantumchemical methods and slightly modified in order to guarantee a neutral total polymer charge. In contrast to similarly constructed models of amino acid and nucleotide sequences, the glycerol building blocks may yield an arbitrary degree of bifurcations depending on the underlying probabilistic model. The iterative development of the overall structure as well as the relation of linear to branching units is controlled by a simple Markov model which is presented with few algorithmic details. The resulting polymer is highly suitable for classical explicit water molecular dynamics simulations on the atomistic level after a structural relaxation step. Moreover, the decomposition strategy presented here can easily be adopted to many other (co)polymers.}, language = {en} } @article{HeyeBeckerLuetkeEverslohetal.2016, author = {Heye, Katharina and Becker, Dennis and L{\"u}tke-Eversloh, Christian and Durmaz, Vedat and Ternes, Thomas and Oetken, Matthias and Oehlmann, J{\"o}rg}, title = {Effects of carbamazepine and two of its metabolites on the non-biting midge Chironomus riparius in a sediment full life cycle toxicity test}, volume = {98}, journal = {Water Research}, pages = {19 -- 27}, year = {2016}, abstract = {The antiepileptic drug carbamazepine (CBZ) and its main metabolites carbamazepine-10,11-epoxide (EP-CBZ) and 10,11-dihydro-10,11-dihydroxy-carbamazepine (DiOH-CBZ) were chosen as test substances to assess chronic toxicity on the non-biting midge Chironomus riparius. All three substances were tested in a 40-day sediment full life cycle test (according to OECD 233) in which mortality, emergence, fertility, and clutch size were evaluated. In addition, these parameters were integrated into the population growth rate to reveal population relevant effects. With an LC50 of 0.203 mg/kg (time-weighted mean), the metabolite EP-CBZ was significantly more toxic than the parent substance CBZ (LC50: 1.11 mg/kg). Especially mortality, emergence, and fertility showed to be sensitive parameters under the exposure to CBZ and EP-CBZ. By using classical molecular dynamics (MD) simulations, the binding of CBZ to the ecdysone receptor was investigated as one possible mode of action but showed to be unlikely. The second metabolite DiOH-CBZ did not show any effects within the tested concentration rage (0.171 - 1.22 mg/kg). Even though CBZ was less toxic compared to EP-CBZ, CBZ is found in the environment at much higher concentrations and causes therefore a higher potential risk for sediment dwelling organisms compared to its metabolites. Nevertheless, the current study illustrates the importance of including commonly found metabolites into the risk assessment of parent substances.}, language = {en} }