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Molecular Informatics

Volumn 32, Issue 5-6, 2013, Pages 415-419

Classification of high-activity tiagabine analogs by binary QSAR modeling

(4) Jurik, Andreas a Reicherstorfer, Regina a Zdrazil, Barbara a Ecker, Gerhard F a

a UNIVERSITY OF VIENNA (Austria)

Author keywords

Binary QSAR; GABA uptake inhibitors; GAT 1; Tiagabine

Indexed keywords

BINARY QSAR; GABA UPTAKE INHIBITOR; GAT-1; HIGH ACTIVITY; QSAR MODELING; TIAGABINE;

TIAGABINE;

4 AMINOBUTYRIC ACID UPTAKE; ARTICLE; BLOOD BRAIN BARRIER; CONFORMATION; DRUG TARGETING; IC 50; PHARMACOPHORE; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; PROTON TRANSPORT; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RIGIDITY;

EID: 84879751931 PISSN: 18681743 EISSN: 18681751 Source Type: Journal
DOI: 10.1002/minf.201300020 Document Type: Article

Times cited : (11)

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