Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Gohier, Arnaud"'
Autor:
Oldenhof, Martijn, Ács, Gergely, Pejó, Balázs, Schuffenhauer, Ansgar, Holway, Nicholas, Sturm, Noé, Dieckmann, Arne, Fortmeier, Oliver, Boniface, Eric, Mayer, Clément, Gohier, Arnaud, Schmidtke, Peter, Niwayama, Ritsuya, Kopecky, Dieter, Mervin, Lewis, Rathi, Prakash Chandra, Friedrich, Lukas, Formanek, András, Antal, Peter, Rahaman, Jordon, Zalewski, Adam, Heyndrickx, Wouter, Oluoch, Ezron, Stößel, Manuel, Vančo, Michal, Endico, David, Gelus, Fabien, de Boisfossé, Thaïs, Darbier, Adrien, Nicollet, Ashley, Blottière, Matthieu, Telenczuk, Maria, Nguyen, Van Tien, Martinez, Thibaud, Boillet, Camille, Moutet, Kelvin, Picosson, Alexandre, Gasser, Aurélien, Djafar, Inal, Simon, Antoine, Arany, Ádám, Simm, Jaak, Moreau, Yves, Engkvist, Ola, Ceulemans, Hugo, Marini, Camille, Galtier, Mathieu
To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLODDY (grant n{\deg}831472), which was comprised of 10 pharmaceutical companies, academic research
Externí odkaz:
http://arxiv.org/abs/2210.08871
Akademický článek
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Autor:
Heyndrickx, Wouter, Mervin, Lewis, Morawietz, Tobias, Sturm, Noé, Friedrich, Lukas, Zalewski, Adam, Pentina, Anastasia, Humbeck, Lina, Oldenhof, Martijn, Niwayama, Ritsuya, Schmidtke, Peter, Fechner, Nikolas, Simm, Jaak, Arany, Adam, Drizard, Nicolas, Jabal, Rama, Afanasyeva, Arina, Loeb, Regis, Verma, Shlok, Harnqvist, Simon, Holmes, Matthew, Pejo, Balazs, Telenczuk, Maria, Holway, Nicholas, Dieckmann, Arne, Rieke, Nicola, Zumsande, Friederike, Clevert, Djork-Arné, Krug, Michael, Luscombe, Christopher, Green, Darren, Ertl, Peter, Antal, Peter, Marcus, David, Do Huu, Nicolas, Fuji, Hideyoshi, Pickett, Stephen, Acs, Gergely, Boniface, Eric, Beck, Bernd, Sun, Yax, Gohier, Arnaud, Rippmann, Friedrich, Engkvist, Ola, Göller, Andreas H., Moreau, Yves, Galtier, Mathieu N., Schuffenhauer, Ansgar, Ceulemans, Hugo
Publikováno v:
Journal of Chemical Information and Modeling; April 2024, Vol. 64 Issue: 7 p2331-2344, 14p
Autor:
Saavedra, Oscar M., Karila, Delphine, Brossard, Dominique, Rojas, Anne, Dupuis, Delphine, Gohier, Arnaud, Mannoury la Cour, Clotilde, Millan, Mark J., Ortuno, Jean-Claude, Hanessian, Stephen
Publikováno v:
In Bioorganic & Medicinal Chemistry 1 January 2017 25(1):38-52
Autor:
Dafniet, Bryan, Cerisier, Natacha, Boezio, Batiste, Clary, Anaelle, Ducrot, Pierre, Dorval, Thierry, Gohier, Arnaud, Brown, David, Audouze, Karine, Taboureau, Olivier
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-12 (2021)
Journal of Cheminformatics
Journal of Cheminformatics, 2021, 13 (1), ⟨10.1186/s13321-021-00569-1⟩
Journal of Cheminformatics
Journal of Cheminformatics, 2021, 13 (1), ⟨10.1186/s13321-021-00569-1⟩
With the development of advanced technologies in cell-based phenotypic screening, phenotypic drug discovery (PDD) strategies have re-emerged as promising approaches in the identification and development of novel and safe drugs. However, phenotypic sc
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Pevet, Isabelle, Brulé, Cédric, Tizot, André, Gohier, Arnaud, Cruzalegui, Francisco, Boutin, Jean A., Goldstein, Solo
Publikováno v:
In Bioorganic & Medicinal Chemistry 2011 19(8):2517-2528
Publikováno v:
In European Journal of Medicinal Chemistry 2010 45(11):5086-5099
Autor:
Dafniet, Bryan, Cerisier, Natacha, Boezio, Batiste, Clary, Anaelle, Ducrot, Pierre, Dorval, Thierry, Gohier, Arnaud, Brown, David, Audouze, Karine, Taboureau, Olivier
Additional file 1: Figure S1. The ���proteinClass��� node (in yellow) Serine protease is a level 1 protein class, and the node Protease is a level 2 protein class for the ���UniprotInter��� node Serine protease hepsin (colored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8985d792477e9194770abd3775a99eeb
Autor:
Penner, Patrick, Martiny, Virginie, Gohier, Arnaud, Gastreich, Marcus, Ducrot, Pierre, Brown, David, Rarey, Matthias
Extending ligands and growing fragments is a widely practiced day-to-day modeling technique in structure-based design. A multitude of software packages tackling this task have been developed over the years but many of these are only validated on a ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2994664d11316719d53620b42c3ee8be