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

Journal of Chemical Information and Computer Sciences

Volumn 36, Issue 6, 1996, Pages 1205-1213

  Bauknecht, Henri ^a   Zell, Andreas ^a   Bayer, Harald ^a   Levi, Paul ^a   Wagener, Markus ^b   Sadowski, Jens ^b   Gasteiger, Johann ^b  

^a UNIVERSITY OF STUTTGART   (Germany)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

4 AMINOBUTYRIC ACID A RECEPTOR; DOPAMINE RECEPTOR STIMULATING AGENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; CHEMISTRY; DRUG DESIGN; DRUG POTENTIATION; ELECTROCHEMISTRY; FACTUAL DATABASE;

DATABASES, FACTUAL; DOPAMINE AGONISTS; DRUG DESIGN; ELECTROCHEMISTRY; MOLECULAR STRUCTURE; NEURAL NETWORKS (COMPUTER); RECEPTORS, GABA-A;

EID: 0030278229     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci960346m     Document Type: Article

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