Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Robin Winter"'
Autor:
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, Thomas M. Hermans
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28010b1a0350f378ef0dcc633e87f6e1
https://doi.org/10.26434/chemrxiv-2023-1d5w8
https://doi.org/10.26434/chemrxiv-2023-1d5w8
Autonomous bin picking poses significant challenges to vision-driven robotic systems given the complexity of the problem, ranging from various sensor modalities, to highly entangled object layouts, to diverse item properties and gripper types. Existi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23591a0c69a9bbaebe98db865ccf5a11
http://arxiv.org/abs/2208.03963
http://arxiv.org/abs/2208.03963
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 12882, p 12882 (2021)
International Journal of Molecular Sciences
International Journal of Molecular Sciences; Volume 22; Issue 23; Pages: 12882
International Journal of Molecular Sciences
International Journal of Molecular Sciences; Volume 22; Issue 23; Pages: 12882
In silico protein–ligand binding prediction is an ongoing area of research in computational chemistry and machine learning based drug discovery, as an accurate predictive model could greatly reduce the time and resources necessary for the detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0c258316f70138c29a7c946ecb88c1e
https://www.mdpi.com/1422-0067/22/23/12882
https://www.mdpi.com/1422-0067/22/23/12882
Publikováno v:
Chemical Science
The automatic recognition of the molecular content of a molecule's graphical depiction is an extremely challenging problem that remains largely unsolved despite decades of research. Recent advances in neural machine translation enable the auto-encodi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e519281894f6ccb8adc7066478b0cf1e
Protecting molecular structures from disclosure against external parties is of great relevance for industrial and private associations, such as pharmaceutical companies. Within the framework of external collaborations, it is common to exchange datase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54f6a69eefc77ae5b82544ca94188e4d
https://doi.org/10.26434/chemrxiv.12286727.v2
https://doi.org/10.26434/chemrxiv.12286727.v2
In-silico protein-ligand binding prediction is an ongoing area of research in computational chemistry and machine learning based drug discovery, as an accurate predictive model could greatly reduce the time and resources necessary for the detection a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b914636023144146ba31fc94babc106
https://doi.org/10.26434/chemrxiv.11523117
https://doi.org/10.26434/chemrxiv.11523117
Publikováno v:
Chemical Science
Protecting molecular structures from disclosure against external parties is of great relevance for industrial and private associations, such as pharmaceutical companies. Within the framework of external collaborations, it is common to exchange datase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0a86b3c1d2abc46ab2ba63e7ce70d6c
https://doi.org/10.17169/refubium-28593
https://doi.org/10.17169/refubium-28593
Publikováno v:
Bioinformatics. 36:4093-4094
Summary Optimizing small molecules in a drug discovery project is a notoriously difficult task as multiple molecular properties have to be considered and balanced at the same time. In this work, we present our novel interactive in silico compound opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a11c91b8e2a69a7c3365a4c55c31ae5f
https://doi.org/10.1093/bioinformatics/btaa271
https://doi.org/10.1093/bioinformatics/btaa271
Publikováno v:
Ultraschall in der Medizin - European Journal of Ultrasound.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2193957ce2ecd2af9d246d943b950cc
https://doi.org/10.1055/s-0039-1695913
https://doi.org/10.1055/s-0039-1695913
Publikováno v:
Chemical Science
One of the main challenges in small molecule drug discovery is finding novel chemical compounds with desirable properties. In this work, we propose a novel method that combines in silico prediction of molecular properties such as biological activity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::205f7897fd42b6b17e0b2b988f4dbb0b
https://doi.org/10.26434/chemrxiv.7971101
https://doi.org/10.26434/chemrxiv.7971101