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"Tandem 3D-QSARs Approach as a Valuable Tool To Predict Binding Affinity ..."

Magdalena Bacilieri et al. (2007)

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DOI: 10.1021/CI7001846

access: closed

type: Journal Article

metadata version: 2021-10-14

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  - journals/jcisd/BacilieriVDMCCFGCKM07
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  - https://dblp.org/rec/journals/jcisd/BacilieriVDMCCFGCKM07
Magdalena Bacilieri, Flavia Varano, Francesca Deflorian, M. Marini, Daniela Catarzi, Vittoria Colotta, Guido Filacchioni, Alessandro Galli, Chiara Costagli, Chosei Kaseda, Stefano Moro:
Tandem 3D-QSARs Approach as a Valuable Tool To Predict Binding Affinity Data: Design of New Gly/NMDA Receptor Antagonists as a Key Study. J. Chem. Inf. Model. 47(5): 1913-1922 (2007)

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