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Start Over Author "Tsengenes A" Publisher american chemical society (acs)
6 results on '"Tsengenes A"'

1. Scaling Protein–Water Interactions in the Martini 3 Coarse-Grained Force Field to Simulate Transmembrane Helix Dimers in Different Lipid Environments

Author

Ainara Claveras Cabezudo, Christina Athanasiou, Alexandros Tsengenes, and Rebecca C. Wade

Subjects
Physical and Theoretical Chemistry, Computer Science Applications
Abstract

Martini 3, the latest version of the widely used Martini force field for coarse-grained molecular dynamics simulations, is a promising tool to investigate proteins in phospholipid bilayers. However, simulating other lipid environments, such as detergent micelles, presents challenges due to the absence of validated parameters for their constituent molecules. Here, we propose parameters for the micelle-forming surfactant, dodecylphosphocholine (DPC). These result in micelle assembly with aggregation numbers in agreement with experimental values. However, we identified a lack of hydrophobic interactions between transmembrane helix protein dimers and the tails of DPC molecules, preventing insertion and stabilization of the protein in the micelles. This problem was also observed for protein insertion by self-assembling 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) or dipalmitoylphosphatidylcholine (DPPC) bilayers. We propose the reduction of the non-bonded interactions between protein and water beads by 10% as a simple and effective solution to this problem that enables protein encapsulation in phospholipid micelles and bilayers without altering protein dimerization or bilayer structure.Abstract Figure

Published
2023
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2. FEPrepare: A Web-Based Tool for Automating the Setup of Relative Binding Free Energy Calculations

Author

Dimitris Dellis, Zoe Cournia, Sandro Cosconati, Giorgio Amendola, Stamatia Zavitsanou, Alexios Chatzigoulas, Michail Papadourakis, Alexandros Tsengenes, Zavitsanou, S., Tsengenes, A., Papadourakis, M., Amendola, G., Chatzigoulas, A., Dellis, D., Cosconati, S., and Cournia, Z.

Subjects
Scheme (programming language), Binding free energy, Computer science, Entropy, General Chemical Engineering, Molecular Dynamics Simulation, Library and Information Sciences, 01 natural sciences, Force field (chemistry), Computational science, Physical Phenomena, Set (abstract data type), 03 medical and health sciences, 0103 physical sciences, Web application, Topology (chemistry), 030304 developmental biology, computer.programming_language, Internet, 0303 health sciences, 010304 chemical physics, business.industry, General Chemistry, Computer Science Applications, Thermodynamics, business, computer, Energy (signal processing)
Abstract

Relative binding free energy calculations in drug design are becoming a useful tool in facilitating lead binding affinity optimization in a cost- and time-efficient manner. However, they have been limited by technical challenges such as the manual creation of large numbers of input files to set up, run, and analyze free energy simulations. In this Application Note, we describe FEPrepare, a novel web-based tool, which automates the setup procedure for relative binding FEP calculations for the dual-topology scheme of NAMD, one of the major MD engines, using OPLS-AA force field topology and parameter files. FEPrepare provides the user with all necessary files needed to run a FEP/MD simulation with NAMD. FEPrepare can be accessed and used at https://feprepare.vi-seem.eu/.

Published
2021
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3. A community effort to discover small molecule SARS-CoV-2 inhibitors

Author

Schimunek, Johannes, primary, Seidl, Philipp, additional, Elez, Katarina, additional, Hempel, Tim, additional, Le, Tuan, additional, Noé, Frank, additional, Olsson, Simon, additional, Raich, Lluís, additional, Winter, Robin, additional, Gokcan, Hatice, additional, Gusev, Filipp, additional, Gutkin, Evgeny M., additional, Isayev, Olexandr, additional, Kurnikova, Maria G., additional, Narangoda, Chamali H., additional, Zubatyuk, Roman, additional, Bosko, Ivan P., additional, Furs, Konstantin V., additional, Karpenko, Anna D., additional, Kornoushenko, Yury V., additional, Shuldau, Mikita, additional, Yushkevich, Artsemi, additional, Benabderrahmane, Mohammed B., additional, Bousquet-Melou, Patrick, additional, Bureau, Ronan, additional, Charton, Beatrice, additional, Cirou, Bertrand C., additional, Gil, Gérard, additional, Allen, William J., additional, Sirimulla, Suman, additional, Watowich, Stanley, additional, Antonopoulos, Nick A., additional, Epitropakis, Nikolaos E., additional, Krasoulis, Agamemnon K., additional, Pitsikalis, Vassilis P., additional, Theodorakis, Stavros T., additional, Kozlovskii, Igor, additional, Maliutin, Anton, additional, Medvedev, Alexander, additional, Popov, Petr, additional, Zaretckii, Mark, additional, Eghbal-zadeh, Hamid, additional, Halmich, Christina, additional, Hochreiter, Sepp, additional, Mayr, Andreas, additional, Ruch, Peter, additional, Widrich, Michael, additional, Berenger, Francois, additional, Kumar, Ashutosh, additional, Yamanishi, Yoshihiro, additional, Zhang, Kam Y.J., additional, Bengio, Emmanuel, additional, Bengio, Yoshua, additional, Jain, Moksh J., additional, Korablyov, Maksym, additional, Liu, Cheng-Hao, additional, Marcou, Gilles, additional, Glaab, Enrico, additional, Barnsley, Kelly, additional, Iyengar, Suhasini M., additional, Ondrechen, Mary Jo, additional, Haupt, V. Joachim, additional, Kaiser, Florian, additional, Schroeder, Michael, additional, Pugliese, Luisa, additional, Albani, Simone, additional, Athanasiou, Christina, additional, Beccari, Andrea, additional, Carloni, Paolo, additional, D'Arrigo, Giulia, additional, Gianquinto, Eleonora, additional, Goßen, Jonas, additional, Hanke, Anton, additional, Joseph, Benjamin P., additional, Kokh, Daria B., additional, Kovachka, Sandra, additional, Manelfi, Candida, additional, Mukherjee, Goutam, additional, Muñiz-Chicharro, Abraham, additional, Musiani, Francesco, additional, Nunes-Alves, Ariane, additional, Paiardi, Giulia, additional, Rossetti, Giulia, additional, Sadiq, S. Kashif, additional, Spyrakis, Francesca, additional, Talarico, Carmine, additional, Tsengenes, Alexandros, additional, Wade, Rebecca C., additional, Copeland, Conner, additional, Gaiser, Jeremiah, additional, Olson, Daniel R., additional, Roy, Amitava, additional, Venkatraman, Vishwesh, additional, Wheeler, Travis J., additional, Arthanari, Haribabu, additional, Blaschitz, Klara, additional, Cespugli, Marco, additional, Durmaz, Vedat, additional, Fackeldey, Konstantin, additional, Fischer, Patrick D., additional, Gorgulla, Christoph, additional, Gruber, Christian, additional, Gruber, Karl, additional, Hetmann, Michael, additional, Kinney, Jamie E., additional, Padmanabha Das, Krishna M., additional, Pandita, Shreya, additional, Singh, Amit, additional, Steinkellner, Georg, additional, Tesseyre, Guilhem, additional, Wagner, Gerhard, additional, Wang, Zi-Fu, additional, Yust, Ryan J., additional, Druzhilovskiy, Dmitry S., additional, Filimonov, Dmitry A., additional, Pogodin, Pavel V., additional, Poroikov, Vladimir, additional, Rudik, Anastassia V., additional, Stolbov, Leonid A., additional, Veselovsky, Alexander V., additional, De Rosa, Maria, additional, De Simone, Giada, additional, Gulotta, Maria R., additional, Lombino, Jessica, additional, Mekni, Nedra, additional, Perricone, Ugo, additional, Casini, Arturo, additional, Embree, Amanda, additional, Gordon, D. Benjamin, additional, Lei, David, additional, Pratt, Katelin, additional, Voigt, Christopher A., additional, Chen, Kuang-Yu, additional, Jacob, Yves, additional, Krischuns, Tim, additional, Lafaye, Pierre, additional, Zettor, Agnès, additional, Rodríguez, M. Luis, additional, White, Kris M., additional, Fearon, Daren, additional, Von Delft, Frank, additional, Walsh, Martin A., additional, Horvath, Dragos, additional, Brooks III, Charles L., additional, Falsafi, Babak, additional, Ford, Bryan, additional, García-Sastre, Adolfo, additional, Lee, Sang Yup, additional, Naffakh, Nadia, additional, Varnek, Alexandre, additional, Klambauer, Günter, additional, and Hermans, Thomas M., additional

Published
2023
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5. A community effort to discover small molecule SARS-CoV-2 inhibitors

Author

Johannes Schimunek, Philipp Seidl, Katarina Elez, Tim Hempel, Tuan Le, Frank Noé, Simon Olsson, Lluís Raich, Robin Winter, Hatice Gokcan, Filipp Gusev, Evgeny M. Gutkin, Olexandr Isayev, Maria G. Kurnikova, Chamali H. Narangoda, Roman Zubatyuk, Ivan P. Bosko, Konstantin V. Furs, Anna D. Karpenko, Yury V. Kornoushenko, Mikita Shuldau, Artsemi Yushkevich, Mohammed B. Benabderrahmane, Patrick Bousquet-Melou, Ronan Bureau, Beatrice Charton, Bertrand C. Cirou, Gérard Gil, William J. Allen, Suman Sirimulla, Stanley Watowich, Nick A. Antonopoulos, Nikolaos E. Epitropakis, Agamemnon K. Krasoulis, Vassilis P. Pitsikalis, Stavros T. Theodorakis, Igor Kozlovskii, Anton Maliutin, Alexander Medvedev, Petr Popov, Mark Zaretckii, Hamid Eghbal-zadeh, Christina Halmich, Sepp Hochreiter, Andreas Mayr, Peter Ruch, Michael Widrich, Francois Berenger, Ashutosh Kumar, Yoshihiro Yamanishi, Kam Y.J. Zhang, Emmanuel Bengio, Yoshua Bengio, Moksh J. Jain, Maksym Korablyov, Cheng-Hao Liu, Gilles Marcou, Enrico Glaab, Kelly Barnsley, Suhasini M. Iyengar, Mary Jo Ondrechen, V. Joachim Haupt, Florian Kaiser, Michael Schroeder, Luisa Pugliese, Simone Albani, Christina Athanasiou, Andrea Beccari, Paolo Carloni, Giulia D'Arrigo, Eleonora Gianquinto, Jonas Goßen, Anton Hanke, Benjamin P. Joseph, Daria B. Kokh, Sandra Kovachka, Candida Manelfi, Goutam Mukherjee, Abraham Muñiz-Chicharro, Francesco Musiani, Ariane Nunes-Alves, Giulia Paiardi, Giulia Rossetti, S. Kashif Sadiq, Francesca Spyrakis, Carmine Talarico, Alexandros Tsengenes, Rebecca C. Wade, Conner Copeland, Jeremiah Gaiser, Daniel R. Olson, Amitava Roy, Vishwesh Venkatraman, Travis J. Wheeler, Haribabu Arthanari, Klara Blaschitz, Marco Cespugli, Vedat Durmaz, Konstantin Fackeldey, Patrick D. Fischer, Christoph Gorgulla, Christian Gruber, Karl Gruber, Michael Hetmann, Jamie E. Kinney, Krishna M. Padmanabha Das, Shreya Pandita, Amit Singh, Georg Steinkellner, Guilhem Tesseyre, Gerhard Wagner, Zi-Fu Wang, Ryan J. Yust, Dmitry S. Druzhilovskiy, Dmitry A. Filimonov, Pavel V. Pogodin, Vladimir Poroikov, Anastassia V. Rudik, Leonid A. Stolbov, Alexander V. Veselovsky, Maria De Rosa, Giada De Simone, Maria R. Gulotta, Jessica Lombino, Nedra Mekni, Ugo Perricone, Arturo Casini, Amanda Embree, D. Benjamin Gordon, David Lei, Katelin Pratt, Christopher A. Voigt, Kuang-Yu Chen, Yves Jacob, Tim Krischuns, Pierre Lafaye, Agnès Zettor, M. Luis Rodríguez, Kris M. White, Daren Fearon, Frank Von Delft, Martin A. Walsh, Dragos Horvath, Charles L. Brooks III, Babak Falsafi, Bryan Ford, Adolfo García-Sastre, Sang Yup Lee, Nadia Naffakh, Alexandre Varnek, Günter Klambauer, and Thomas M. Hermans

Abstract

The COVID-19 pandemic continues to pose a substantial threat to human lives and is likely to do so for years to come. Despite the availability of vaccines, searching for efficient small-molecule drugs that are widely available, including in low- and middle-income countries, is an ongoing challenge. In this work, we report the results of a community effort, the “Billion molecules against Covid-19 challenge”, to identify small-molecule inhibitors against SARS-CoV-2 or relevant human receptors. Participating teams used a wide variety of computational methods to screen a minimum of 1 billion virtual molecules against 6 protein targets. Overall, 31 teams participated, and they suggested a total of 639,024 potentially active molecules, which were subsequently ranked to find ‘consensus compounds’. The organizing team coordinated with various contract research organizations (CROs) and collaborating institutions to synthesize and test 878 compounds for activity against proteases (Nsp5, Nsp3, TMPRSS2), nucleocapsid N, RdRP (Nsp12 domain), and (alpha) spike protein S. Overall, 27 potential inhibitors were experimentally confirmed by binding-, cleavage-, and/or viral suppression assays and are presented here. All results are freely available and can be taken further downstream without IP restrictions. Overall, we show the effectiveness of computational techniques, community efforts, and communication across research fields (i.e., protein expression and crystallography, in silico modeling, synthesis and biological assays) to accelerate the early phases of drug discovery.

Published
2023
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