Akdoğan, Ebru Demet
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Akdoğan, E.
Akdoğan, EBRU DEMET
E. D. Akdoğan
A., Ebru Demet
Ebru Demet Akdoğan
Akten E.
Akdoğan,E.D.
AKDOĞAN, EBRU DEMET
Akdogan,Ebru Demet
Akdogan,E.D.
Akdogan, Ebru Demet
Ebru Demet AKDOĞAN
E. Akdoğan
EBRU DEMET AKDOĞAN
Ebru Demet, Akdogan
Akdoğan, Ebru Demet
Akdoğan, E. D.
A.,Ebru Demet
AKDOĞAN, Ebru Demet
Demet Akdoğan, Ebru
Akten, Ebru Demet
Akdoğan, Ebru Demet
Akdoğan, Ebru Demet
Akdoğan, Demet Akten
Akdoğan, EBRU DEMET
E. D. Akdoğan
A., Ebru Demet
Ebru Demet Akdoğan
Akten E.
Akdoğan,E.D.
AKDOĞAN, EBRU DEMET
Akdogan,Ebru Demet
Akdogan,E.D.
Akdogan, Ebru Demet
Ebru Demet AKDOĞAN
E. Akdoğan
EBRU DEMET AKDOĞAN
Ebru Demet, Akdogan
Akdoğan, Ebru Demet
Akdoğan, E. D.
A.,Ebru Demet
AKDOĞAN, Ebru Demet
Demet Akdoğan, Ebru
Akten, Ebru Demet
Akdoğan, Ebru Demet
Akdoğan, Ebru Demet
Akdoğan, Demet Akten
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Prof. Dr.
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Molecular Biology and Genetics
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Current Staff
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Sustainable Development Goals
11
SUSTAINABLE CITIES AND COMMUNITIES
0
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17
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0
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14
LIFE BELOW WATER
0
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8
DECENT WORK AND ECONOMIC GROWTH
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15
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1
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7
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6
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12
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16
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9
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3
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2
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2
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4
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10
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13
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5
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Documents
23
Citations
217
h-index
8
Documents
37
Citations
658
Scholarly Output
39
Articles
27
Views / Downloads
245/15367
Supervised MSc Theses
8
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0
WoS Citation Count
238
Scopus Citation Count
250
WoS h-index
9
Scopus h-index
9
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0
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0
WoS Citations per Publication
6.10
Scopus Citations per Publication
6.41
Open Access Source
27
Supervised Theses
8
| Journal | Count |
|---|---|
| Journal of Biomolecular Structure and Dynamics | 3 |
| Journal of Computer-Aided Molecular Design | 2 |
| Archives of Biochemistry and Biophysics | 2 |
| Molecular Informatics | 2 |
| Biophysical Journal | 1 |
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39 results
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Now showing 1 - 10 of 39
Article Citation - WoS: 39Citation - Scopus: 41A Docking Study Using Atomistic Conformers Generated Via Elastic Network Model for Cyclosporin A/Cyclophilin A Complex(Taylor & Francis Inc, 2009) Akten, Ebru Demet; Cansu, Sertan; Doruker, PemraAnisotropic network model is used to generate a set of distinct conformations for cylophilin A (CypA). The native structure is deformed to different extents along each of the lowest-frequency modes (first 7 modes) both in negative and positive directions. Each node of the elastic network represents either a single atom in the high-resolution model or a single residue in the low-resolution model. Realistic conformations with energies close to or lower than the crystal structure and with satisfactory internal geometry are recovered by energy minimization using implicit solvation model. These conformations are then used for ensemble docking to the ligand cyclosporin A for both a further test of accuracy of generated conformers and exploration of different binding modes. Higher number of correctly docked ligands are obtained for conformations with low deformation factors as a result of lower root mean square distances with respect to crystal structure. Yet Surprisingly the lowest binding energy is obtained for one of the highly deformed conformations as a result of its special contact with arginine side chain oriented towards binding site. Considering the fact that the cyclic ligand's backbone and protein's side chains are held rigid during docking the conformers generated by high- and low-resolution elastic network models are almost equally successful in providing the correct binding mode. The shape of the binding pocket that incorporates crucial interaction sites for hydrogen bond formation is found to be another important determining factor for the success of the dock. Also the small backbone variations of a few angstrom ngstroms in magnitude at the loop regions surrounding the binding pocket can cause amino acids' side chains to be displaced by magnitudes of up to 10 angstrom and therefore have a strong influence on the efficiency of the conformational search during docking.Article Citation - WoS: 4Citation - Scopus: 4Information Transfer in Active States of Human ?2-Adrenergic Receptor Via Inter-Rotameric Motions of Loop Regions(Mdpi, 2022) Sogunmez, Nuray; Akten, Ebru DemetFeatured Application Loop regions in beta(2)AR are critical hot spot regions, likely in other GPCRs, and can be used as potential allosteric drug targets. Two independent 1.5 mu s long MD simulations were conducted for the fully atomistic model of the human beta2-adrenergic receptor (beta(2)AR) in a complex with a G protein to investigate the signal transmission in a fully active state via mutual information and transfer entropy based on alpha-carbon displacements and rotameric states of backbone and side-chain torsion angles. Significant correlations between fluctuations in alpha-Carbon displacements were mostly detected between transmembrane (TM) helices, especially TM5 and TM6 located at each end of ICL3 and TM7. Signal transmission across beta(2)-AR was quantified by shared mutual information; a high amount of correspondence was distinguished in almost all loop regions when rotameric states were employed. Moreover, polar residues, especially Arg, made the most contribution to signal transmission via correlated side-chain rotameric fluctuations as they were more frequently observed in loop regions than hydrophobic residues. Furthermore, transfer entropy identified all loop regions as major entropy donor sites, which drove future rotameric states of torsion angles of residues in transmembrane helices. Polar residues appeared as donor sites from which entropy flowed towards hydrophobic residues. Overall, loops in beta(2)AR were recognized as potential allosteric hot spot regions, which play an essential role in signal transmission and should likely be used as potential drug targets.Article Citation - WoS: 5Citation - Scopus: 7Molecular Docking Study Based on Pharmacophore Modeling for Novel Phosphodiesteraseiv Inhibitors(Wiley-VCH Verlag GmbH, 2012) Cifci, Gulsah; Aviyente, Viktorya; Akten, Ebru DemetIn this study pharmacophore modelling was carried out for novel PhosphodiesteraseIV (PDEIV) inhibitors. A pharmacophore-based virtual screening which resulted in 1959 hit compounds was performed with six chemical databases. The pharmacophore screening was proven to be successful in discriminating active and inactive inhibitors using a set of compounds with known activity obtained from ChEMBL database. Furthermore the Lipinskis rule of five was applied for physicochemical filtering of the hit molecules and this yielded 1840 compounds. Three docking software tools AutoDock 4.0 AutoDock Vina and Gold v5.1 were used for the docking process. All 1840 compounds and the known selective inhibitor rolipram were docked into the active site of the target protein. A total of 234 compounds with all three scoring values higher than those of rolipram were determined with the three docking tools. The interaction maps of 14 potent inhibitors complexed with PDEIV B and D isoforms have been analyzed and seven key residues (Asn 395 Gln 443 Tyr 233 Ile 410 Phe 446 Asp 392 Thr 407) were found to interact with more than 80?% of the potent inhibitors. For each one of the 234 hit compounds using the bound conformation with the highest AutoDock score the interacting residues were determined. 117 out of 234 compounds are found to interact with at least five of the seven key residues and these were selected for further evaluation. The conformation with the highest AutoDock score for each 117 compounds were rescored using the DSX scoring function. This yielded a total of 101 compounds with better score values than the natural ligand rolipram. For ADME/TOX calculations the FAF-Drugs2 server was used and 32 out of 101 compounds were found to be non-toxic.Article Citation - WoS: 35Citation - Scopus: 33Effect of Intracellular Loop 3 on Intrinsic Dynamics of Human 2-Adrenergic Receptor(Bmc, 2013) Ozcan, Ozer; Uyar, Arzu; Doruker, Pemra; Akten, Ebru DemetBackground: To understand the effect of the long intracellular loop 3 (ICL3) on the intrinsic dynamics of human beta(2)-adrenergic receptor, molecular dynamics (MD) simulations were performed on two different models, both of which were based on the inactive crystal structure in complex with carazolol (after removal of carazolol and T4-lysozyme). In the so-called loop model, the ICL3 region that is missing in available crystal structures was modeled as an unstructured loop of 32-residues length, whereas in the clipped model, the two open ends were covalently bonded to each other. The latter model without ICL3 was taken as a reference, which has also been commonly used in recent computational studies. Each model was embedded into POPC bilayer membrane with explicit water and subjected to a 1 mu s molecular dynamics (MD) simulation at 310 K. Results: After around 600 ns, the loop model started a transition to a very inactive conformation, which is characterized by a further movement of the intracellular half of transmembrane helix 6 (TM6) towards the receptor core, and a close packing of ICL3 underneath the membrane completely blocking the G-protein's binding site. Concurrently, the binding site at the extracellular part of the receptor expanded slightly with the Ser207-Asp113 distance increasing to 18 angstrom from 11 angstrom, which was further elaborated by docking studies. Conclusions: The essential dynamics analysis indicated a strong coupling between the extracellular and intracellular parts of the intact receptor, implicating a functional relevance for allosteric regulation. In contrast, no such transition to the very inactive state, nor any structural correlation, was observed in the clipped model without ICL3. Furthermore, elastic network analysis using different conformers for the loop model indicated a consistent picture on the specific ICL3 conformational change being driven by global modes.Master Thesis Investigation of Species-Specific Allosteric Binding Sites in Glycolytic Enzymes Via Allosigma and Molecular Dynamics Simulations(Kadir Has Üniversitesi, 2021) Çelebi, Metehan; Demet Akdoğan, EbruIn previous studies of our research group, allosteric sites have been proposed to be used as drug targets in species-specific drug design studies for phosphofructokinase (PFK), glyceraldehyde-3 phosphate dehydrogenase (GADPH) and pyruvate kinase (PK) that belong to three species bacteria, parasite, and human and are essential enzymes in the glycolytic pathway. In this thesis, they were further investigated by various tools such as AlloSigMA and MD simulations. In addition to proposed allosteric sites, known allosteric sites reported by experimental studies for S. aureus PFK and PK enzymes were also investigated. In the first part, AlloSigMA was used to perturb the residues at the proposed and/or known allosteric sites in order to evaluate their allosteric capacities and their effects on protein dynamics. Accordingly, a reduced dynamics in the catalytic sites indicating allosteric inhibition was observed for most of the proposed allosteric sites whereas either an opposite or no effect was observed for known allosteric sites. In addition, partial allosteric inhibition was observed for some of the proposed allosteric sites in human species. In the second part of this thesis, Molecular Dynamics simulations of a total of nine runs, each 100 ns long, were performed for S. aureus phosphofructokinase enzyme in apo and constrained states which incorporated bond restraints at the proposed and known allosteric sites. Here, the goal was to investigate the effect of restraints on the protein's global dynamics. RMSD/RMSF, principal component analysis, the change in orthogonal principal axes, and the mean square distance fluctuation between each pair of residues were determined. According to PCA analysis, increase in the correlation of positional fluctuations between each pair of residues in the chains and domains were observed. Based on the mean square distance fluctuation between residue pairs, each dimer started to communicate more within itself when switched to constrained state.Master Thesis Pharmacophore- Based Screening and Docking for the Discovery of Novel Antagonists of Beta-2 Adrenergic Receptor(Kadir Has Üniversitesi, 2013) Yakar, Rüya; Akdoğan, Ebru Demetß2AR which is the member of rhodopsin-like GPCR is the target system for the discovery of novel antagonists using structure-based pharmacophore modeling and docking methods. initially a shared pharmacophore model is obtained using the structure of five known inactive ß2AR complex (PDB ids: 2HR1 3D4S 3NY8 3NY9 and 3NYA). in order to test the discriminatory power of pharmacophore model a small database consisting of 117 known molecules (53 antagonists against 64 agonists) was screened using LigandScout software tool. The screening yielded 44 antagonists (72% true positives) against 17 agonists (18% false positives) which was found satisfactory. Then under the same screening conditions the second database that is the clean drug-like subset of ZiNC database was screened. -- Abstract'tan.Article Citation - WoS: 3Citation - Scopus: 3Transmembrane Helix 6 Observed at the Interface of Beta(2)ar Homodimers in Blind Docking Studies(Taylor & Francis Inc, 2015) Koroğlu, Ayça; Akten, Ebru DemetPeptide- and protein-protein dockings were carried out on beta(2)-adrenergic receptor (beta(2)AR) to confirm the presence of transmembrane helix 6 (TM6) at the interface region between two beta(2)AR monomers thereby its possible role in dimerization as suggested in numerous experimental and computational studies. Initially a portion of TM6 was modeled as a peptide consisting of 23 residues and blindly docked to beta(2)AR monomer using a rigid body approach. Interestingly all highest score conformations preferred to be near TM5 and TM6 regions of the receptor. Furthermore longer peptides generated from a whole TM region were blindly docked to beta(2)AR using the same rigid body approach. This yielded a total of seven docked peptides each derived from one TM helix. Most interestingly for each peptide TM6 was among the most preferred binding site region in the receptor. Besides the peptide dockings two beta(2)AR monomers were blindly docked to each other using a full rigid-body search of docking orientations which yielded a total of 16000 dimer conformations. Each dimer was then filtered according to a fitness value based on the membrane topology. Among 149 complexes that met the topology requirements 102 conformers were composed of two monomers oriented in opposite directions whereas in the remaining 47 the monomers were arranged in parallel. Lastly all 149 conformers were clustered based on a root mean-squared distance value of 6 angstrom. In agreement with the peptide results the clustering yielded the largest population of conformers with the highest Z-score value having TM6 at the interface region.Article Citation - WoS: 1Citation - Scopus: 1Exploring Distinct Binding Site Regions of Beta(2)-Adrenergic Receptor Via Coarse-Grained Molecular Dynamics Simulations(Scientific Technical Research Council Turkey-Tubitak, 2013) Cakan, Sibel; Akdoğan, Ebru Demetbeta(2)-Adrenergic receptor (beta(2)AR) is a G protein-coupled receptor that is highly flexible and able to recognize a wide range of ligands through its conformational variations. Active and inactive conformations revealed by recent crystallographic experiments do not provide a complete dynamic picture of the receptor especially in the binding site. In this study molecular dynamics (MD) simulation through a residue-based coarse-grained model is used as an alternative and efficient method to explore a wider conformational search space. The system was composed of beta(2)AR embedded into a 1-palmitoyl-2-oleoyl-phosphatidylcholine membrane bilayer with surrounding water. A total of 6 mu s of simulation at constant NPT was performed for a system of 6868 coarse-grained beads. The system reached equilibrium at around 0.1 mu s. The overall 3-dimensional structure was well preserved throughout the simulation. Local residue-based fluctuations were in good agreement with fully atomistic MD simulations. Four distinct snapshots were selected and reverse-mapped to all-atom representations with around 65000 atoms. Each reverse-mapped system was later subjected to 100 ns of MD simulation for equilibration. Root mean square deviation clustering analysis yielded distinct receptor conformers for the binding site regions which were suggested to be alternative representations of the binding pocket and thus were proposed as plausible targets in docking-based virtual screening experiments for the discovery of novel antagonists.Article Citation - WoS: 1Citation - Scopus: 1Assessing Protein-Ligand Binding Modes With Computational Tools: the Case of Pde4b(Springer, 2017) Çifii, Gülşah; Aviyente, Viktorya; Akten, Ebru Demet; Monard, GeraldIn a first step in the discovery of novel potent inhibitor structures for the PDE4B family with limited side effects we present a protocol to rank newly designed molecules through the estimation of their IC values. Our protocol is based on reproducing the linear relationship between the logarithm of experimental IC values [(IC)] and their calculated binding free energies (). From 13 known PDE4B inhibitors we show here that (1) binding free energies obtained after a docking process by AutoDock are not accurate enough to reproduce this linear relationshipArticle Citation - WoS: 5Citation - Scopus: 5Discovery of High Affinity Ligands for Beta(2)-Adrenergic Receptor Through Pharmacophore-Based High-Throughput Virtual Screening and Docking(Elsevier Science Inc, 2014) Yakar, Rüya; Akten, Ebru DemetNovel high affinity compounds for human beta(2)-adrenergic receptor (beta(2)-AR) were searched among the clean drug-like subset of ZINC database consisting of 9928465 molecules that satisfy the Lipinski's rule of five. The screening protocol consisted of a high-throughput pharmacophore screening followed by an extensive amount of docking and rescoring. The pharmacophore model was composed of key features shared by all five inactive states of beta(2)-AR in complex with inverse agonists and antagonists. To test the discriminatory power of the pharmacophore model a small-scale screening was initially performed on a database consisting of 117 compounds of which 53 antagonists were taken as active inhibitors and 64 agonists as inactive inhibitors. Accordingly 7.3% of the ZINC database subset (729413 compounds) satisfied the pharmacophore requirements along with 44 antagonists and 17 agonists. Afterwards all these hit compounds were docked to the inactive apo form of the receptor using various docking and scoring protocols. Following each docking experiment the best pose was further evaluated based on the existence of key residues for antagonist binding in its vicinity. After final evaluations based on the human intestinal absorption (HIA) and the blood brain barrier (BBB) penetration properties 62 hit compounds have been clustered based on their structural similarity and as a result four scaffolds were revealed. Two of these scaffolds were also observed in three high affinity compounds with experimentally known K-i values. Moreover novel chemical compounds with distinct structures have been determined as potential beta(2)-AR drug candidates. (C) 2014 Elsevier Inc. All rights reserved.