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De Novo Design of Nurr1 Agonists via Fragment-Augmented Gen..:
Ballarotto, Marco
;
Willems, Sabine
;
Stiller, Tanja
...
Journal of Medicinal Chemistry. 66 (2023) 12 - p. 8170-8177 , 2023
Link:
https://doi.org/10.1021/acs.jmedchem.3c00485
RT Journal T1
De Novo Design of Nurr1 Agonists via Fragment-Augmented Generative Deep Learning in Low-Data Regime
UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jmedchem.3c00485&Exemplar=1&LAN=DE A1 Ballarotto, Marco A1 Willems, Sabine A1 Stiller, Tanja A1 Nawa, Felix A1 Marschner, Julian A. A1 Grisoni, Francesca A1 Merk, Daniel PB American Chemical Society (ACS) YR 2023 SN 0022-2623 SN 1520-4804 JF Journal of Medicinal Chemistry VO 66 IS 12 SP 8170 OP 8177 LK http://dx.doi.org/https://doi.org/10.1021/acs.jmedchem.3c00485 DO https://doi.org/10.1021/acs.jmedchem.3c00485 SF ELIB - SuUB Bremen
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