Pharmacophore-driven identification of PPARγ agonists from natural sources

Journal of Computer-Aided Molecular Design

Volumn 25, Issue 2, 2011, Pages 107-116

  Petersen, Rasmus K ^a   Christensen, Kathrine B ^b   Assimopoulou, Andreana N ^c   Fretté, Xavier ^b   Papageorgiou, Vassilios P ^c   Kristiansen, Karsten ^a   Kouskoumvekaki, Irene ^d  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^c ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^d NONE

Author keywords

Natural compounds; Pharmacophore model; PPAR agonist; Virtual screening

Indexed keywords

BIOACTIVITY; DIAGNOSIS; DIGITAL LIBRARIES; PHARMACODYNAMICS; SCAFFOLDS;

ANTIDIABETIC; MODEL-BASED OPC; NATURAL COMPOUNDS; NATURAL PRODUCTS; NATURAL SOURCES; PHARMACOPHORE MODELS; PHARMACOPHORES; PPARΓ AGONIST; PRODUCT DATABASE; VIRTUAL SCREENING;

BIOASSAY;

NATURAL PRODUCT; OLEANONIC ACID; PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR GAMMA; PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR GAMMA AGONIST; ROSIGLITAZONE; UNCLASSIFIED DRUG;

ANIMAL CELL; ARTICLE; BINDING AFFINITY; COMPUTER MODEL; CONTROLLED STUDY; DRUG EFFICACY; DRUG POTENCY; DRUG RECEPTOR BINDING; DRUG SCREENING; DRUG STRUCTURE; EMBRYO; IN VITRO STUDY; MOLECULAR DOCKING; MOUSE; NONHUMAN; PHARMACOPHORE; PISTACIA LENTISCUS; PRIORITY JOURNAL; VIRTUAL REALITY;

EID: 79951671439     PISSN: 0920654X     EISSN: 15734951     Source Type: Journal    
DOI: 10.1007/s10822-010-9398-5     Document Type: Article

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