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Deep generative models for ligand-based de novo design applied to multi-parametric optimization.
Perron, Quentin; Mirguet, Olivier; Tajmouati, Hamza; Skiredj, Adam; Rojas, Anne; Gohier, Arnaud; Ducrot, Pierre; Bourguignon, Marie-Pierre; Sansilvestri-Morel, Patricia; Do Huu, Nicolas; Gellibert, Françoise; Gaston-Mathé, Yann.
Affiliation
  • Perron Q; Iktos, Paris, France.
  • Mirguet O; Institut De Recherches Servier, Suresnes, France.
  • Tajmouati H; Institut De Recherches Servier, Croissy, France.
  • Skiredj A; Iktos, Paris, France.
  • Rojas A; Iktos, Paris, France.
  • Gohier A; Institut De Recherches Servier, Suresnes, France.
  • Ducrot P; Institut De Recherches Servier, Croissy, France.
  • Bourguignon MP; Institut De Recherches Servier, Suresnes, France.
  • Sansilvestri-Morel P; Institut De Recherches Servier, Croissy, France.
  • Do Huu N; Institut De Recherches Servier, Suresnes, France.
  • Gellibert F; Institut De Recherches Servier, Croissy, France.
  • Gaston-Mathé Y; Institut De Recherches Servier, Suresnes, France.
J Comput Chem ; 43(10): 692-703, 2022 04 15.
Article in En | MEDLINE | ID: mdl-35218219
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Design / Drug Discovery Type of study: Prognostic_studies Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2022 Document type: Article Affiliation country: France
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Design / Drug Discovery Type of study: Prognostic_studies Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2022 Document type: Article Affiliation country: France