Novel computational models for predicting dopamine interactions

Experimental Neurology

Volumn 211, Issue 1, 2008, Pages 150-171

  Katritzky, Alan R ^a   Dobchev, Dimitar A ^a,b   Stoyanova Slavova, Iva B ^a   Kuanar, Minati ^a   Bespalov, Maxim M ^c   Karelson, Mati ^b   Saarma, Mart ^c  

^a University of Florida   (United States)

^b TALLINN UNIVERSITY OF TECHNOLOGY   (Estonia)

^c UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

DOPAMINE; DOPAMINE RECEPTOR; DOPAMINE RECEPTOR BLOCKING AGENT;

ARTICLE; DRUG DEPENDENCE; MATHEMATICAL MODEL; MOLECULAR INTERACTION; NERVOUS SYSTEM; NEUROLOGIC DISEASE; NEUROTRANSMISSION; NONLINEAR SYSTEM; PARKINSON DISEASE; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RECEPTOR AFFINITY; SCHIZOPHRENIA;

ANIMALS; COMPUTER SIMULATION; DOPAMINE; DOPAMINE AGENTS; MODELS, CHEMICAL; NONLINEAR DYNAMICS; PREDICTIVE VALUE OF TESTS; PROTEIN BINDING; RECEPTORS, DOPAMINE; REPRODUCIBILITY OF RESULTS;

EID: 42749096684     PISSN: 00144886     EISSN: 10902430     Source Type: Journal    
DOI: 10.1016/j.expneurol.2008.01.018     Document Type: Article

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