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Publication Metadata only Atomistic molecular dynamics simulations of typical and atypical antipsychotic drugs at the dopamine D2 receptor (D2R) elucidates their inhibition mechanism(Taylor and Francis Ltd. [email protected], 2017) Salmas, Ramin Ekhteiari; Yurtsever, Mine; Durdagi, Serdar; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Yurtsever, Mine, Department of Chemistry, İstanbul Teknik Üniversitesi, Istanbul, Turkey; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, TurkeyDopamine D2 receptor (D2R) plays a pivotal role in nervous systems. Its dysfunction leads to the schizophrenia, Parkinson’s diseases and drug addiction. Since the crystal structure of the D2R was not solved yet, discovering of potent and highly selective anti-psychotic drugs carry challenges for different neurodegenerative diseases. In the current study, we modeled the three-dimensional (3D) structure of the D2R based on a recently crystallized structure of the dopamine D3 receptor. These two receptors share a high amino acid sequence homology (>70%). The interaction of the modeled receptor with well-known atypical and typical anti-psychotic drugs and the inhibition mechanisms of drugs at the catalytic domain were studied via atomistic molecular dynamics simulations. Our results revealed that, class-I and class-II forms of atypical and typical D2R antagonists follow different pathways in the inhibition of the D2Rs. © 2017 Elsevier B.V., All rights reserved.Publication Metadata only Biological Insights of the Dopaminergic Stabilizer ACR16 at the Binding Pocket of Dopamine D2 Receptor(American Chemical Society [email protected], 2017) Salmas, Ramin Ekhteiari; Seeman, Philip; Aksoydan, Busecan; Stein, Matthias Jeanette; Yurtsever, Mine; Durdagi, Serdar; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Seeman, Philip, Departments of Psychiatry and Pharmacology, University of Toronto, Toronto, Canada; Aksoydan, Busecan, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Stein, Matthias Jeanette, Molecular Simulations and Design Group, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; Yurtsever, Mine, Department of Chemistry, İstanbul Teknik Üniversitesi, Istanbul, Turkey; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, TurkeyThe dopamine D2 receptor (D2R) plays an important part in the human central nervous system and it is considered to be a focal target of antipsychotic agents. It is structurally modeled in active and inactive states, in which homodimerization reaction of the D2R monomers is also applied. The ASP2314 (also known as ACR16) ligand, a D2R stabilizer, is used in tests to evaluate how dimerization and conformational changes may alter the ligand binding space and to provide information on alterations in inhibitory mechanisms upon activation. The administration of the D2R agonist ligand ACR16 [3H](+)-4-propyl-3,4,4a,5,6,10b-hexahydro-2H-naphtho[1,2-b][1,4]oxazin-9-ol ((+)PHNO) revealed Ki values of 32 nM for the D2highR and 52 μM for the D2lowR. The calculated binding affinities of ACR16 with post processing molecular dynamics (MD) simulations analyses using MM/PBSA for the monomeric and homodimeric forms of the D2highR were -9.46 and -8.39 kcal/mol, respectively. The data suggests that the dimerization of the D2R leads negative cooperativity for ACR16 binding. The dimerization reaction of the D2highR is energetically favorable by -22.95 kcal/mol. The dimerization reaction structurally and thermodynamically stabilizes the D2highR conformation, which may be due to the intermolecular forces formed between the TM4 of each monomer, and the result strongly demonstrates dimerization essential for activation of the D2R. © 2017 Elsevier B.V., All rights reserved.Publication Metadata only Virtual screening of small molecules databases for discovery of novel PARP-1 inhibitors: combination of in silico and in vitro studies(Taylor and Francis Ltd. [email protected], 2017) Salmas, Ramin Ekhteiari; Ünlü, Ayhan; Bektaş, Muhammet; Yurtsever, Mine; Mestanoglu, Mert; Durdagi, Serdar; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Ünlü, Ayhan, Department of Biophysics, Trakya Üniversitesi, Edirne, Turkey; Bektaş, Muhammet, Department of Biophysics, İstanbul Tıp Fakültesi, Istanbul, Turkey; Yurtsever, Mine, Department of Chemistry, İstanbul Teknik Üniversitesi, Istanbul, Turkey; Mestanoglu, Mert, School of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, TurkeyPoly(ADP-ribose) polymerase-1 (PARP-1) enzyme has critical roles in DNA replication repair and recombination. Thus, PARP-1 inhibitors play an important role in the cancer therapy. In the current study, we have performed combination of in silico and in vitro studies in order to discover novel inhibitors against PARP-1 target. Structure-based virtual screening was carried out for an available small molecules database. A total of 257,951 ligands from Otava database were screened at the binding pocket of PARP-1 using high-throughput virtual screening techniques. Filtered structures based on predicted binding energy results were then used in more sophisticated molecular docking simulations (i.e. Glide/standard precision, Glide/XP, induced fit docking–IFD, and quantum mechanics polarized ligand docking–QPLD). Potential high binding affinity compounds that are predicted by molecular simulations were then tested by in vitro methods. Computationally proposed compounds as PARP-1 inhibitors (Otava Compound Codes: 7111620047 and 7119980926) were confirmed by in vitro studies. In vitro results showed that compounds 7111620047 and 7119980926 have IC50 values of 0.56 and 63 μM against PARP-1 target, respectively. The molecular mechanism analysis, free energy perturbation calculations using long multiple molecular dynamics simulations for the discovered compounds which showed high binding affinity against PARP-1 enzyme, as well as structure-based pharmacophore development (E-pharmacophore) studies were also studied. © 2017 Elsevier B.V., All rights reserved.Publication Open Access The signaling pathway of dopamine D2 receptor (D2R) activation using normal mode analysis (NMA) and the construction of pharmacophore models for D2R ligands(Taylor and Francis Ltd. [email protected], 2017) Salmas, Ramin Ekhteiari; Stein, Matthias Jeanette; Yurtsever, Mine; Seeman, Philip; Erol, Ismail; Mestanoglu, Mert; Durdagi, Serdar; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Stein, Matthias Jeanette, Molecular Simulations and Design Group, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; Yurtsever, Mine, Department of Chemistry, İstanbul Teknik Üniversitesi, Istanbul, Turkey; Seeman, Philip, Departments of Psychiatry and Pharmacology, University of Toronto, Toronto, Canada; Erol, Ismail, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Chemistry, Gebze Teknik Üniversitesi, Gebze, Turkey; Mestanoglu, Mert, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, TurkeyG-protein-coupled receptors (GPCRs) are targets of more than 30% of marketed drugs. Investigation on the GPCRs may shed light on upcoming drug design studies. In the present study, we performed a combination of receptor- and ligand-based analysis targeting the dopamine D2 receptor (D2R). The signaling pathway of D2R activation and the construction of universal pharmacophore models for D2R ligands were also studied. The key amino acids, which contributed to the regular activation of the D2R, were in detail investigated by means of normal mode analysis (NMA). A derived cross-correlation matrix provided us an understanding of the degree of pair residue correlations. Although negative correlations were not observed in the case of the inactive D2R state, a high degree of correlation appeared between the residues in the active state. NMA results showed that the cytoplasmic side of the TM5 plays a significant role in promoting of residue–residue correlations in the active state of D2R. Tracing motions of the amino acids Arg219, Arg220, Val223, Asn224, Lys226, and Ser228 in the position of the TM5 are found to be critical in signal transduction. Complementing the receptor-based modeling, ligand-based modeling was also performed using known D2R ligands. The top-scored pharmacophore models were found as 5-sited (AADPR.671, AADRR.1398, AAPRR.3900, and ADHRR.2864) hypotheses from PHASE modeling from a pool consisting of more than 100 initial candidates. The constructed models using 38 D2R ligands (in the training set) were validated with 15 additional test set compounds. The resulting model correctly predicted the pIC50 values of an additional test set compounds as true unknowns. © 2017 Elsevier B.V., All rights reserved.