A simplified model to predict P-glycoprotein interacting drugs from 3D molecular interaction field

International Journal of Pharmaceutics

Volumn 309, Issue 1-2, 2006, Pages 109-114

  Zhuang, Xiao Mei ^a   Xiao, Jun Hai ^a   Li, Jin Tong ^a,b   Zhang, Zhen Qing ^a   Ruan, Jin Xiu ^a  

^a BEIJING INSTITUTE OF PHARMACOLOGY AND TOXICOLOGY   (China)

^b NONE   (China)

Author keywords

Molecular interaction field; P glycoprotein; QSAR; VolSurf

Indexed keywords

ADENOSINE TRIPHOSPHATASE; AMIODARONE; AMITRIPTYLINE; CHLORPROMAZINE; COLCHICINE; DAUNORUBICIN; DEXVERAPAMIL; DILTIAZEM; DIPYRIDAMOLE; EPIRUBICIN; FLUPHENAZINE; FUSIDATE SODIUM; GLYCOPROTEIN P; MEFLOQUINE; METHOTREXATE; PIMOZIDE; PROGESTERONE; PROMETHAZINE; PROPAFENONE; PROPRANOLOL; QUINIDINE; RESERPINE; SPIRONOLACTONE; TAMOXIFEN; TERFENADINE; TRIFLUOPERAZINE; TRIFLUPROMAZINE; VINBLASTINE; VINCRISTINE;

ARTICLE; COMPUTER PROGRAM; DRUG PROTEIN BINDING; ENZYME ACTIVITY; HYDROGEN BOND; MOLECULAR INTERACTION; MOLECULAR MODEL; NUCLEOTIDE BINDING SITE; POLARIZATION; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; STATISTICAL MODEL;

ADENOSINE TRIPHOSPHATASES; MODELS, MOLECULAR; P-GLYCOPROTEIN; PHARMACEUTICAL PREPARATIONS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 31144470162     PISSN: 03785173     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpharm.2005.11.009     Document Type: Article

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