A New Approach To Predict the Biological Activity of Molecules Based on Similarity of Their Interaction Fields and the logP and logD Values: Application to Auxins

Journal of Chemical Information and Computer Sciences

Volumn 43, Issue 5, 2003, Pages 1532-1541

  Bertoša, Branimir ^a   Kojić Prodić, Biserka ^a   Wade, Rebecca C ^b   Ramek, Michael ^c   Piperaki, Stavroula ^d   Tsantili Kakoulidou, Anna ^d   Tomić, Sanja ^a  

^a RUDER BO KOVI INSTITUTE   (Croatia)

^b European Media Laboratory   (Germany)

^c GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^d UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ABSORPTION; BINDING ENERGY; COMPUTER SIMULATION; DERIVATIVES; HORMONES; METABOLISM; MOLECULAR BIOLOGY; MOLECULAR DYNAMICS; PHENOLS;

BIOLOGICAL ACTIVITY;

BIOCHEMISTRY;

AUXIN BINDING PROTEIN 1; AUXIN-BINDING PROTEIN 1; CELL SURFACE RECEPTOR; INDOLEACETIC ACID DERIVATIVE; VEGETABLE PROTEIN;

ARTICLE; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; CLASSIFICATION; METABOLISM; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

INDOLEACETIC ACIDS; MODELS, CHEMICAL; MODELS, MOLECULAR; PLANT PROTEINS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RECEPTORS, CELL SURFACE;

EID: 0141959681     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci034063n     Document Type: Article

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