Mining high-throughput screening data of combinatorial libraries: Development of a filter to distinguish hits from nonhits

Journal of Chemical Information and Computer Sciences

Volumn 44, Issue 2, 2004, Pages 626-634

  Teckentrup, Andreas ^a   Briem, Hans ^c   Gasteiger, Johann ^b  

^a BOEHRINGER INGELHEIM PHARMA GMBH AND CO KG   (Germany)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^c BAYER PHARMA AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALDEHYDES; AMINO ACIDS; COMPOSITION; DATABASE SYSTEMS; DRUG PRODUCTS; MATHEMATICAL MODELS; MOLECULAR STRUCTURE; NEURAL NETWORKS; PRODUCT DEVELOPMENT; SYNTHESIS (CHEMICAL); THROUGHPUT;

COMBINATORIAL CHEMISTRY; COMBINATORIAL LIBRARIES; DRUG DISCOVERY; HIGH THROUGHPUT SCREENING DATA; KOHONEN NEURAL NETWORKS;

DATA MINING;

EID: 1842639233     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci034223v     Document Type: Article

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