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2020 – today
- 2024
[j3]Wouter Heyndrickx
, Lewis H. Mervin, Tobias Morawietz, Noé Sturm, Lukas Friedrich, Adam Zalewski, Anastasia Pentina, Lina Humbeck, Martijn Oldenhof, Ritsuya Niwayama, Peter Schmidtke, Nikolas Fechner, Jaak Simm, Adam Arany, Nicolas Drizard, Rama Jabal, Arina Afanasyeva, Regis Loeb, Shlok Verma, Simon Harnqvist, Matthew Holmes, Balazs Pejo, Maria Telenczuk, Nicholas Holway, Arne Dieckmann, Nicola Rieke, Friederike Zumsande, Djork-Arné Clevert, Michael Krug, Christopher N. Luscombe, Darren V. S. Green, Peter Ertl, Peter Antal, David Marcus, Nicolas Do Huu, Hideyoshi Fuji, Stephen D. Pickett, Gergely Ács, Eric Boniface, Bernd Beck, Yax Sun, Arnaud Gohier, Friedrich Rippmann, Ola Engkvist, Andreas H. Göller, Yves Moreau, Mathieu N. Galtier, Ansgar Schuffenhauer, Hugo Ceulemans:
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64(7): 2331-2344 (2024)
2000 – 2009
- 2009
- [j2]Noriaki Okimoto, Noriyuki Futatsugi, Hideyoshi Fuji, Atsushi Suenaga, Gentaro Morimoto, Ryoko Yanai, Yousuke Ohno, Tetsu Narumi, Makoto Taiji:
High-Performance Drug Discovery: Computational Screening by Combining Docking and Molecular Dynamics Simulations. PLoS Comput. Biol. 5(10) (2009) - 2008
- [j1]Daisuke Katagiri, Hideyoshi Fuji, Saburo Neya, Tyuji Hoshino:
Ab initio protein structure prediction with force field parameters derived from water-phase quantum chemical calculation. J. Comput. Chem. 29(12): 1930-1944 (2008)
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last updated on 2024-10-07 21:23 CEST by the dblp team
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