Locating biologically active compounds in medium-sized heterogeneous datasets by topological autocorrelation vectors: dopamine and benzodiazepine agonists.

Bauknecht, H; Zell, A; Bayer, H; Levi, P; Wagener, M; Sadowski, J; Gasteiger, J

Bauknecht, H; Zell, A; Bayer, H; Levi, P; Wagener, M; Sadowski, J; Gasteiger, J.

Affiliation

Bauknecht H; Institut für Parallele und Verteilte Höchstleistungsrechner (IPVR), Universität Stuttgart, Germany. hauknecht@informatik.uni-stuttgart.de

J Chem Inf Comput Sci ; 36(6): 1205-13, 1996.

Article in En | MEDLINE | ID: mdl-8941996

Subject(s)

Databases, Factual; Dopamine Agonists/chemistry; GABA-A Receptor Agonists; Drug Design; Electrochemistry; Molecular Structure; Neural Networks, Computer

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Collection: 01-internacional Database: MEDLINE Main subject: Databases, Factual / Dopamine Agonists / GABA-A Receptor Agonists Type of study: Prognostic_studies Language: En Journal: J Chem Inf Comput Sci Year: 1996 Document type: Article Affiliation country: Germany Country of publication: United States

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