@article{AbdelhameedEltamanyHaletal.2020, author = {Abdelhameed, Reda F. A. and Eltamany, Enas E. and Hal, Dina M. and Ibrahim, Amany K. and AboulMagd, Asmaa M. and Al-Warhi, Tarfah and Youssif, Khayrya A. and Abd El-kader, Adel M. and Hassanean, Hashim A. and Fayez, Shaimaa and Bringmann, Gerhard and Ahmed, Safwat A. and Abdelmohsen, Usama Ramadan}, title = {New cytotoxic cerebrosides from the Red Sea cucumber Holothuria spinifera supported by in-silico studies}, series = {Marine Drugs}, volume = {18}, journal = {Marine Drugs}, number = {8}, issn = {1660-3397}, doi = {10.3390/md18080405}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-211089}, year = {2020}, abstract = {Bioactivity-guided fractionation of a methanolic extract of the Red Sea cucumber Holothuria spinifera and LC-HRESIMS-assisted dereplication resulted in the isolation of four compounds, three new cerebrosides, spiniferosides A (1), B (2), and C (3), and cholesterol sulfate (4). The chemical structures of the isolated compounds were established on the basis of their 1D NMR and HRMS spectral data. Metabolic profiling of the H. spinifera extract indicated the presence of diverse secondary metabolites, mostly hydroxy fatty acids, diterpenes, triterpenes, and cerebrosides. The isolated compounds were tested for their in vitro cytotoxicities against the breast adenocarcinoma MCF-7 cell line. Compounds 1, 2, 3, and 4 displayed promising cytotoxic activities against MCF-7 cells, with IC\(_{50}\) values of 13.83, 8.13, 8.27, and 35.56 µM, respectively, compared to that of the standard drug doxorubicin (IC\(_{50}\) 8.64 µM). Additionally, docking studies were performed for compounds 1, 2, 3, and 4 to elucidate their binding interactions with the active site of the SET protein, an inhibitor of protein phosphatase 2A (PP2A), which could explain their cytotoxic activity. This study highlights the important role of these metabolites in the defense mechanism of the sea cucumber against fouling organisms and the potential uses of these active molecules in the design of new anticancer agents.}, language = {en} } @article{EltamanyAbdelmohsenHaletal.2021, author = {Eltamany, Enas E. and Abdelmohsen, Usama Ramadan and Hal, Dina M. and Ibrahim, Amany K. and Hassanean, Hashim A. and Abdelhameed, Reda F. A. and Temraz, Tarek A. and Hajjar, Dina and Makki, Arwa A. and Hendawy, Omnia Magdy and AboulMagd, Asmaa M. and Youssif, Khayrya A. and Bringmann, Gerhard and Ahmed, Safwat A.}, title = {Holospiniferoside: A New Antitumor Cerebroside from The Red Sea Cucumber Holothuria spinifera: In Vitro and In Silico Studies}, series = {Molecules}, volume = {26}, journal = {Molecules}, number = {6}, issn = {1420-3049}, doi = {10.3390/molecules26061555}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-234058}, year = {2021}, abstract = {Chemical investigation of the methanolic extract of the Red Sea cucumber Holothuria spinifera led to the isolation of a new cerebroside, holospiniferoside (1), together with thymidine (2), methyl-α-d-glucopyranoside (3), a new triacylglycerol (4), and cholesterol (5). Their chemical structures were established by NMR and mass spectrometric analysis, including gas chromatography-mass spectrometry (GC-MS) and high-resolution mass spectrometry (HRMS). All the isolated compounds are reported in this species for the first time. Moreover, compound 1 exhibited promising in vitro antiproliferative effect on the human breast cancer cell line (MCF-7) with IC\(_{50}\) of 20.6 µM compared to the IC50 of 15.3 µM for the drug cisplatin. To predict the possible mechanism underlying the cytotoxicity of compound 1, a docking study was performed to elucidate its binding interactions with the active site of the protein Mdm2-p53. Compound 1 displayed an apoptotic activity via strong interaction with the active site of the target protein. This study highlights the importance of marine natural products in the design of new anticancer agents.}, language = {en} } @article{IsaacsMikasiObasaetal.2020, author = {Isaacs, Darren and Mikasi, Sello Given and Obasa, Adetayo Emmanuel and Ikomey, George Mondinde and Shityakov, Sergey and Cloete, Ruben and Jacobs, Graeme Brendon}, title = {Structural comparison of diverse HIV-1 subtypes using molecular modelling and docking analyses of integrase inhibitors}, series = {Viruses}, volume = {12}, journal = {Viruses}, number = {9}, issn = {1999-4915}, doi = {10.3390/v12090936}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-211170}, year = {2020}, abstract = {The process of viral integration into the host genome is an essential step of the HIV-1 life cycle. The viral integrase (IN) enzyme catalyzes integration. IN is an ideal therapeutic enzyme targeted by several drugs; raltegravir (RAL), elvitegravir (EVG), dolutegravir (DTG), and bictegravir (BIC) having been approved by the USA Food and Drug Administration (FDA). Due to high HIV-1 diversity, it is not well understood how specific naturally occurring polymorphisms (NOPs) in IN may affect the structure/function and binding affinity of integrase strand transfer inhibitors (INSTIs). We applied computational methods of molecular modelling and docking to analyze the effect of NOPs on the full-length IN structure and INSTI binding. We identified 13 NOPs within the Cameroonian-derived CRF02_AG IN sequences and further identified 17 NOPs within HIV-1C South African sequences. The NOPs in the IN structures did not show any differences in INSTI binding affinity. However, linear regression analysis revealed a positive correlation between the Ki and EC50 values for DTG and BIC as strong inhibitors of HIV-1 IN subtypes. All INSTIs are clinically effective against diverse HIV-1 strains from INSTI treatment-na{\"i}ve populations. This study supports the use of second-generation INSTIs such as DTG and BIC as part of first-line combination antiretroviral therapy (cART) regimens, due to a stronger genetic barrier to the emergence of drug resistance.}, language = {en} } @article{SarukhanyanShanmugamDandekar2022, author = {Sarukhanyan, Edita and Shanmugam, Tipack Ayothyapattanam and Dandekar, Thomas}, title = {In silico studies reveal Peramivir and Zanamivir as an optimal drug treatment even if H7N9 avian type influenza virus acquires further resistance}, series = {Molecules}, volume = {27}, journal = {Molecules}, number = {18}, issn = {1420-3049}, doi = {10.3390/molecules27185920}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-288240}, year = {2022}, abstract = {An epidemic of avian type H7N9 influenza virus, which took place in China in 2013, was enhanced by a naturally occurring R294K mutation resistant against Oseltamivir at the catalytic site of the neuraminidase. To cope with such drug-resistant neuraminidase mutations, we applied the molecular docking technique to evaluate the fitness of the available drugs such as Oseltamivir, Zanamivir, Peramivir, Laninamivir, L-Arginine and Benserazide hydrochloride concerning the N9 enzyme with single (R294K, R119K, R372K), double (R119_294K, R119_372K, R294_372K) and triple (R119_294_372K) mutations in the pocket. We found that the drugs Peramivir and Zanamivir score best amongst the studied compounds, demonstrating their high binding potential towards the pockets with the considered mutations. Despite the fact that mutations changed the shape of the pocket and reduced the binding strength for all drugs, Peramivir was the only drug that formed interactions with the key residues at positions 119, 294 and 372 in the pocket of the triple N9 mutant, while Zanamivir demonstrated the lowest RMSD value (0.7 {\AA}) with respect to the reference structure.}, language = {en} } @article{SarukhanyanShityakovDandekar2018, author = {Sarukhanyan, Edita and Shityakov, Sergey and Dandekar, Thomas}, title = {In silico designed Axl receptor blocking drug candidates against Zika virus infection}, series = {ACS Omega}, volume = {3}, journal = {ACS Omega}, number = {5}, doi = {10.1021/acsomega.8b00223}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-176739}, pages = {5281-5290}, year = {2018}, abstract = {After a large outbreak in Brazil, novel drugs against Zika virus became extremely necessary. Evaluation of virus-based pharmacological strategies concerning essential host factors brought us to the idea that targeting the Axl receptor by blocking its dimerization function could be critical for virus entry. Starting from experimentally validated compounds, such as RU-301, RU-302, warfarin, and R428, we identified a novel compound 2′ (R428 derivative) to be the most potent for this task amongst a number of alternative compounds and leads. The improved affinity of compound 2′ was confirmed by molecular docking as well as molecular dynamics simulation techniques using implicit solvation models. The current study summarizes a new possibility for inhibition of the Axl function as a potential target for future antiviral therapies.}, language = {en} } @article{SarukhanyanShityakovDandekar2020, author = {Sarukhanyan, Edita and Shityakov, Sergey and Dandekar, Thomas}, title = {Rational drug design of Axl tyrosine kinase type I inhibitors as promising candidates against cancer}, series = {Frontiers in Chemistry}, volume = {7}, journal = {Frontiers in Chemistry}, number = {920}, issn = {2296-2646}, doi = {10.3389/fchem.2019.00920}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-199505}, year = {2020}, abstract = {The high level of Axl tyrosine kinase expression in various cancer cell lines makes it an attractive target for the development of anti-cancer drugs. In this study, we carried out several sets of in silico screening for the ATP-competitive Axl kinase inhibitors based on different molecular docking protocols. The best drug-like candidates were identified, after parental structure modifications, by their highest affinity to the target protein. We found that our newly designed compound R5, a derivative of the R428 patented analog, is the most promising inhibitor of the Axl kinase according to the three molecular docking algorithms applied in the study. The molecular docking results are in agreement with the molecular dynamics simulations using the MM-PBSA/GBSA implicit solvation models, which confirm the high affinity of R5 toward the protein receptor. Additionally, the selectivity test against other kinases also reveals a high affinity of R5 toward ABL1 and Tyro3 kinases, emphasizing its promising potential for the treatment of malignant tumors.}, language = {en} } @article{ShityakovBroscheitFoerster2013, author = {Shityakov, Sergey and Broscheit, Jens and F{\"o}rster, Carola}, title = {Multidrug resistance protein P-gp interaction with nanoparticles (fullerenes and carbon nanotube) to assess their drug delivery potential: a theoretical molecular docking study.}, series = {International journal of computational biology and drug design}, volume = {6}, journal = {International journal of computational biology and drug design}, number = {4}, doi = {10.1504/IJCBDD.2013.056801}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-132089}, pages = {343-357}, year = {2013}, abstract = {P-glycoprotein (P-gp)-mediated efflux system plays an important role to maintain chemical balance in mammalian cells for endogenous and exogenous chemical compounds. However, despite the extensive characterisation of P-gp potential interaction with drug-like molecules, the interaction of carbon nanoparticles with this type of protein molecule is poorly understood. Thus, carbon nanoparticles were analysed, such as buckminsterfullerenes (C20, C60, C70), capped armchair single-walled carbon nanotube (SWCNT or C168), and P-gp interactions using different molecular docking techniques, such as gradient optimisation algorithm (ADVina), Lamarckian genetic algorithm (FastDock), and shape-based approach (PatchDock) to estimate the binding affinities between these structures. The theoretical results represented in this work show that fullerenes might be P-gp binders because of low levels of Gibbs free energy of binding (ΔG) and potential of mean force (PMF) values. Furthermore, the SWCNT binding is energetically unfavourable, leading to a total decrease in binding affinity by elevation of the residual area (Ares), which also affects the π-π stacking mechanisms. Further, the obtained data could potentially call experimental studies using carbon nanostructures, such as SWCNT for development of drug delivery vehicles, to administer and assess drug-like chemical compounds to the target cells since organisms probably did not develop molecular sensing elements to detect these types of carbon molecules.}, language = {en} } @article{ShityakovFoerster2014, author = {Shityakov, Sergey and F{\"o}rster, Carola}, title = {In silico predictive model to determine vector-mediated transport properties for the blood-brain barrier choline transporter}, series = {Advances and Applications in Bioinformatics and Chemistry}, volume = {7}, journal = {Advances and Applications in Bioinformatics and Chemistry}, doi = {10.2147/AABC.S63749}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-120200}, pages = {23-36}, year = {2014}, abstract = {The blood-brain barrier choline transporter (BBB-ChT) may have utility as a drug delivery vector to the central nervous system (CNS). We therefore initiated molecular docking studies with the AutoDock and AutoDock Vina (ADVina) algorithms to develop predictive models for compound screening and to identify structural features important for binding to this transporter. The binding energy predictions were highly correlated with r2=0.88, F=692.4, standard error of estimate =0.775, and P-value<0.0001 for selected BBB-ChT-active/inactive compounds (n=93). Both programs were able to cluster active (Gibbs free energy of binding <-6.0 kcal*mol-1) and inactive (Gibbs free energy of binding >-6.0 kcal*mol-1) molecules and dock them significantly better than at random with an area under the curve value of 0.86 and 0.84, respectively. In ranking smaller molecules with few torsional bonds, a size-related bias in scoring producing false-negative outcomes was detected. Finally, important blood-brain barrier parameters, such as the logBBpassive and logBBactive values, were assessed to predict compound transport to the CNS accurately. Knowledge gained from this study is useful to better understand the binding requirements in BBB-ChT, and until such time as its crystal structure becomes available, it may have significant utility in developing a highly predictive model for the rational design of drug-like compounds targeted to the brain.}, language = {en} } @article{ShityakovFoerster2014, author = {Shityakov, Sergey and F{\"o}rster, Carola}, title = {In silico structure-based screening of versatile P-glycoprotein inhibitors using polynomial empirical scoring functions}, series = {Advances and Applications in Bioinformatics and Chemistry}, volume = {7}, journal = {Advances and Applications in Bioinformatics and Chemistry}, doi = {10.2147/AABC.S56046}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-120214}, pages = {1-9}, year = {2014}, abstract = {P-glycoprotein (P-gp) is an ATP (adenosine triphosphate)-binding cassette transporter that causes multidrug resistance of various chemotherapeutic substances by active efflux from mammalian cells. P-gp plays a pivotal role in limiting drug absorption and distribution in different organs, including the intestines and brain. Thus, the prediction of P-gp-drug interactions is of vital importance in assessing drug pharmacokinetic and pharmacodynamic properties. To find the strongest P-gp blockers, we performed an in silico structure-based screening of P-gp inhibitor library (1,300 molecules) by the gradient optimization method, using polynomial empirical scoring (POLSCORE) functions. We report a strong correlation (r2=0.80, F=16.27, n=6, P<0.0157) of inhibition constants (Kiexp or pKiexp; experimental Ki or negative decimal logarithm of Kiexp) converted from experimental IC50 (half maximal inhibitory concentration) values with POLSCORE-predicted constants (KiPOLSCORE or pKiPOLSCORE), using a linear regression fitting technique. The hydrophobic interactions between P-gp and selected drug substances were detected as the main forces responsible for the inhibition effect. The results showed that this scoring technique might be useful in the virtual screening and filtering of databases of drug-like compounds at the early stage of drug development processes.}, language = {en} } @article{ShityakovPuskasPapaietal.2015, author = {Shityakov, Sergey and Pusk{\´a}s, Istv{\´a}n and P{\´a}pai, Katalin and Salvador, Ellaine and Roewer, Norbert and F{\"o}rster, Carola and Broscheit, Jens-Albert}, title = {Sevoflurane-sulfobutylether-\(\beta\)-cyclodextrin complex: preparation, characterization, cellular toxicity, molecular modeling and blood-brain barrier transport studies}, series = {Molecules}, volume = {20}, journal = {Molecules}, doi = {10.3390/molecules200610264}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-148543}, pages = {10264-10279}, year = {2015}, abstract = {The objective of the present investigation was to study the ability of sulfobutylether-\(\beta\)-cyclodextrin (SBECD) to form an inclusion complex with sevoflurane (SEV), a volatile anesthetic with poor water solubility. The inclusion complex was prepared, characterized and its cellular toxicity and blood-brain barrier (BBB) permeation potential of the formulated SEV have also been examined for the purpose of controlled drug delivery. The SEV-SBE\(\beta\)CD complex was nontoxic to the primary brain microvascular endothelial (pEND) cells at a clinically relevant concentration of sevoflurane. The inclusion complex exhibited significantly higher BBB permeation profiles as compared with the reference substance (propranolol) concerning calculated apparent permeability values (P\(_{app}\)). In addition, SEV binding affinity to SBE\(\beta\)CD was confirmed by a minimal Gibbs free energy of binding (ΔG\(_{bind}\)) value of -1.727 ± 0.042 kcal・mol\(^{-1}\) and an average binding constant (K\(_{b}\)) of 53.66 ± 9.24 mM indicating rapid drug liberation from the cyclodextrin amphiphilic cavity.}, language = {en} }