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  • Publication
    Synthesis, anticholinesterase activity and molecular modeling study of novel carbamate-substituted thymol/carvacrol derivatives
    (Elsevier Ltd, 2017) Zengin Kurt, Belma; Gazioğlu, Işil; Daǧ, Aydan; Salmas, Ramin Ekhteiari; Kayık, Gülru; Durdagi, Serdar; Sönmez, Fatih; Zengin Kurt, Belma, Department of Pharmaceutical Chemistry, Bezmiâlem Vakıf Üniversitesi, Istanbul, Turkey; Gazioğlu, Işil, Department of Analytical Chemistry, Bezmiâlem Vakıf Üniversitesi, Istanbul, Turkey; Daǧ, Aydan, Department of Pharmaceutical Chemistry, Bezmiâlem Vakıf Üniversitesi, Istanbul, Turkey; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Kayık, Gülru, Department of Chemistry, İstanbul Teknik Üniversitesi, Istanbul, Turkey; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Sönmez, Fatih, Pamukova Vocational High School, Sakarya Üniversitesi, Serdivan, Turkey
    New thymol and carvacrol derivatives with the carbamate moiety were synthesized and their inhibitory effects on acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) were evaluated. 5-isopropyl-2-methylphenyl(3-fluorophenyl)carbamate (29) was found to be the most potent AChE inhibitor with IC50values of 2.22 μM, and 5-isopropyl-2-methylphenyl (4-fluorophenyl)carbamate (30) exhibited the strongest inhibition against BuChE with IC50value of 0.02 μM. Additionally, the result of H4IIE hepatoma cell toxicity assay for compounds 18, 20, 29, 30 and 35 showed negligible cell death at 0.07–10 μM. Moreover in order to better understand the inhibitory profiles of these molecules, molecular modeling studies were applied. Binding poses of studied compounds at the binding pockets of AChE and BuChE targets were determined. Predicted binding energies of these compounds as well as structural and dynamical profiles of molecules at the target sites were estimated using induced fit docking (IFD) algorithms and post-processing molecular dynamics (MD) simulations methods (i.e., Molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) approaches). © 2017 Elsevier B.V., All rights reserved.
  • PublicationOpen Access
    Synthesis, biological activity and multiscale molecular modeling studies for coumaryl-carboxamide derivatives as selective carbonic anhydrase IX inhibitors
    (Taylor and Francis Ltd [email protected], 2017) Zengin Kurt, Belma; Sönmez, Fatih; Durdagi, Serdar; Aksoydan, Busecan; Salmas, Ramin Ekhteiari; Angeli, Andrea; Küçükislamoǧlu, Mustafa; Supuran, Claudiu T.; Zengin Kurt, Belma, Department of Pharmaceutical Chemistry, Bezmiâlem Vakıf Üniversitesi, Istanbul, Turkey; Sönmez, Fatih, Department of Chemistry, Sakarya Üniversitesi, Serdivan, Turkey; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Aksoydan, Busecan, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Angeli, Andrea, Dipartimento Neurofarba, Università degli Studi di Firenze, Florence, Italy; Küçükislamoǧlu, Mustafa, Department of Chemistry, Sakarya Üniversitesi, Serdivan, Turkey; Supuran, Claudiu T., Dipartimento Neurofarba, Università degli Studi di Firenze, Florence, Italy
    New coumaryl-carboxamide derivatives with the thiourea moiety as a linker between the alkyl chains and/or the heterocycle nucleus were synthesized and their inhibitory activity against the human carbonic anhydrase (hCA) isoforms hCA I, II, VII and IX were evaluated. While the hCA I, II and VII isoforms were not inhibited by the investigated compounds, the tumour-associated isoform hCA IX was inhibited in the high nanomolar range. 2-Oxo-N-((2-(pyrrolidin-1-yl)ethyl)carbamothioyl)-2H-chromene-3-carboxamide (e11) exhibited a selective inhibitory action against hCA IX with the Ki of 107.9 nM. In order to better understand the inhibitory profiles of studied molecules, multiscale molecular modeling approaches were used. Different molecular docking algorithms were used to investigate binding poses and predicted binding energies of studied compounds at the active sites of the CA I, II, VII and IX isoforms. © 2017 Elsevier B.V., All rights reserved.
  • PublicationOpen Access
    Discovery of Klotho peptide antagonists against Wnt3 and Wnt3a target proteins using combination of protein engineering, protein–protein docking, peptide docking and molecular dynamics simulations
    (Taylor and Francis Ltd [email protected], 2017) Mirza, Shaher Bano; Salmas, Ramin Ekhteiari; Fatmi, Muhammad Qaiser; Durdagi, Serdar; Mirza, Shaher Bano, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Fatmi, Muhammad Qaiser, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey
    The Klotho is known as lifespan enhancing protein involved in antagonizing the effect of Wnt proteins. Wnt proteins are stem cell regulators, and uninterrupted exposure of Wnt proteins to the cell can cause stem and progenitor cell senescence, which may lead to aging. Keeping in mind the importance of Klotho in Wnt signaling, in silico approaches have been applied to study the important interactions between Klotho and Wnt3 and Wnt3a (wingless-type mouse mammary tumor virus (MMTV) integration site family members 3 and 3a). The main aim of the study is to identify important residues of the Klotho that help in designing peptides which can act as Wnt antagonists. For this aim, a protein engineering study is performed for Klotho, Wnt3 and Wnt3a. During the theoretical analysis of homology models, unexpected role of number of disulfide bonds and secondary structure elements has been witnessed in case of Wnt3 and Wnt3a proteins. Different in silico experiments were carried out to observe the effect of correct number of disulfide bonds on 3D protein models. For this aim, total of 10 molecular dynamics (MD) simulations were carried out for each system. Based on the protein–protein docking simulations of selected protein models of Klotho with Wnt3 and Wnt3a, different peptides derived from Klotho have been designed. Wnt3 and Wnt3a proteins have three important domains: Index finger, N-terminal domain and a patch of ∼10 residues on the solvent exposed surface of palm domain. Protein–peptide docking of designed peptides of Klotho against three important domains of palmitoylated Wnt3 and Wnt3a yields encouraging results and leads better understanding of the Wnt protein inhibition by proposed Klotho peptides. Further in vitro studies can be carried out to verify effects of novel designed peptides as Wnt antagonists. © 2017 Elsevier B.V., All rights reserved.
  • Publication
    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, Turkey
    Dopamine 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
    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, Turkey
    The 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
    Identification of novel serotonin reuptake inhibitors targeting central and allosteric binding sites: A virtual screening and molecular dynamics simulations study
    (Elsevier Inc. [email protected], 2017) Erol, Ismail; Aksoydan, Busecan; Kantarcioglu, Isik; Salmas, Ramin Ekhteiari; Durdagi, Serdar; Erol, Ismail, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Chemistry, Gebze Teknik Üniversitesi, Gebze, Turkey; Aksoydan, Busecan, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Kantarcioglu, Isik, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey
    The serotonin (5-hydroxytryptamine, 5HT) transporter (SERT) is a member of neurotransmitter sodium symporter (NSS) family, which maintains neurotransmitter by reuptaking 5HT into synapses. Decrease in serotonin concentrations in synaptic clefts have been reported to cause psychological and neurological disorders. Therefore, inhibition of SERT is a potent strategy for the treatment of related diseases such as depression. In this study, approximately 260,000 small molecules from an available chemical database have been virtually screened both at central and allosteric binding sites of SERT to identify potent novel candidate SERT inhibitors. A set of docking algorithms were used to predict binding modes and energies of compounds. Screening analyses led three top-ranked hit compounds (160234, Otava ID: 7118020138, 159166, Otava ID: 7117171303, and 69419, Otava ID: 118671819) for central binding site (S1) and one compound (93507, Otava ID: 6248262) for allosteric binding site (S2). These promising compounds are then subjected to long multiple molecular dynamics (MD) simulations to elucidate their structural and dynamical profiles at the binding cavities of SERT. Higher predicted binding affinities of identified compounds were also confirmed with binding free energy calculations (MM/GBSA) in comparison with the reference central and allosteric binding site inhibitors, paroxetine (8PR) and escitalopram (68P), respectively. To the best of our knowledge, the present work is the first structure-based high throughput virtual screening study reported using recently revealed crystal structure of SERT for screening inhibitors from chemical databases on S1 and S2 binding sites. Small molecule library screening study yielded candidate compounds both at central and allosteric binding site of SERT, and further experimentation may pave the way for developing novel strong inhibitors. © 2018 Elsevier B.V., All rights reserved.
  • Publication
    First universal pharmacophore model for hERG1 K+ channel activators: acthER
    (Elsevier Inc. [email protected], 2017) Durdagi, Serdar; Erol, Ismail; Salmas, Ramin Ekhteiari; Patterson, Matthew; Noskov, Sergei Yu; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Erol, Ismail, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Chemistry, Gebze Teknik Üniversitesi, Gebze, Turkey; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Patterson, Matthew, Department of Biological Sciences, University of Calgary, Calgary, Canada; Noskov, Sergei Yu, Department of Biological Sciences, University of Calgary, Calgary, Canada
    The intra-cavitary drug blockade of hERG1 channel has been extensively studied, both experimentally and theoretically. Structurally diverse ligands inadvertently block the hERG1 K+ channel currents lead to drug induced Long QT Syndrome (LQTS). Accordingly, designing either hERG1 channel openers or current activators, with the potential to target other binding pockets of the channel, has been introduced as a viable approach in modern anti-arrhythmia drug development. However, reports and investigations on the molecular mechanisms underlying activators binding to the hERG1 channel remain sparse and the overall molecular design principles are largely unknown. Most of the hERG1 activators were discovered during mandatory screening for hERG1 blockade. To fill this apparent deficit, the first universal pharmacophore model for hERG1 K+ channel activators was developed using PHASE. 3D structures of 18 hERG1 K+ channel activators and their corresponding measured binding affinity values were used in the development of pharmacophore models. These compounds spanned a range of structurally different chemotypes with moderate variation in binding affinity. A five sites AAHRR (A, hydrogen-bond accepting, H, hydrophobic, R, aromatic) pharmacophore model has shown reasonable high statistical results compared to the other developed more than 1000 hypotheses. This model was used to construct steric and electrostatic contour maps. The predictive power of the model was tested with 3 external test set compounds as true unknowns. Finally, the pharmacophore model was combined with the previously developed receptor-based model of hERG1 K+ channel to develop and screen novel activators. The results are quite striking and it suggests a greater future role for pharmacophore modeling and virtual drug screening simulations in deciphering complex patterns of molecular mechanisms of hERG1 channel openers at the target sites. The developed model is available upon request and it may serve as basis for the synthesis of novel therapeutic hERG1 activators. © 2018 Elsevier B.V., All rights reserved.
  • Publication
    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, Turkey
    Poly(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.
  • PublicationOpen 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, Turkey
    G-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.
  • Publication
    The synthesis of novel sulfamides derived from β-benzylphenethylamines as acetylcholinesterase, butyrylcholinesterase and carbonic anhydrase enzymes inhibitors
    (Academic Press Inc. [email protected], 2017) Akıncıoğlu, Akın; Kocaman, Ebutalib Talip; Akıncıoğlu, Hulya; Salmas, Ramin Ekhteiari; Durdagi, Serdar; Gülçın, İlhami; Supuran, Claudiu T.; Göksu, Süleyman; Akıncıoğlu, Akın, Department of Chemistry, Atatürk Üniversitesi, Erzurum, Turkey, Central Research and Application Laboratory, Aǧrı İbrahim Çeçen Üniversitesi, Agri, Turkey; Kocaman, Ebutalib Talip, Department of Chemistry, Atatürk Üniversitesi, Erzurum, Turkey; Akıncıoğlu, Hulya, Central Research and Application Laboratory, Aǧrı İbrahim Çeçen Üniversitesi, Agri, Turkey; Salmas, Ramin Ekhteiari, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Gülçın, İlhami, Department of Chemistry, Atatürk Üniversitesi, Erzurum, Turkey; Supuran, Claudiu T., Dipartimento di Chimica Ugo Schiff, Università degli Studi di Firenze, Florence, Italy, NEUROFARBA Department, Università degli Studi di Firenze, Florence, Italy; Göksu, Süleyman, Department of Chemistry, Atatürk Üniversitesi, Erzurum, Turkey
    In this study, a series of novel β-benzylphenethylamines and their sulfamide derivatives were synthesized starting from (Z)-2,3-diphenylacrylonitriles. Pd-C catalysed hydrogenation of diphenylacrylonitriles, reduction of propanenitriles with LiAlH4 in the presence of AlCl3 followed by addition of conc. HCl afforded β-benzylphenethylamine hydrochloride salts. The reactions of these amine hydrochloride salts with chlorosulfonyl isocyanate (CSI) in the presence of tert-BuOH and excess Et3N gave sulfamoylcarbamates. Removing of Boc group from the synthesized sulfamoylcarbamates with trifluoroacetic acid (TFA) yielded novel sulfamides in good yields. These novel sulfamides derived from β-benzylphenethylamines were effective inhibitors of the cytosolic carbonic anhydrase I and II isoenzymes (hCA I and II), acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) with Ki values in the range of 0.278–2.260 nM for hCA I, 0.187–1.478 nM for hCA II, 0.127–2.452 nM for AChE and 0.494–1.790 nM for BChE. The inhibitory effects of the synthesized novel sulfamides derived from β-benzylphenethylamines were compared to those of acetazolamide and dorzolamide as clinical hCA I and II isoenzymes inhibitors and tacrine as a clinical AChE and BChE enzymes inhibitors. In addition to in vitro tests, molecular modeling approaches are implemented not only for prediction of the binding affinities of the compounds but also to study their inhibition mechanisms in atomic level at the catalytic domains. © 2017 Elsevier B.V., All rights reserved.