title: Virtual screening for PPAR modulators using a probabilistic neural network.
authors.affiliation: Johann Wolfgang Goethe University, Institute of Organic Chemistry and Chemical Biology/ZAFES, Siesmayerstrasse 70, 60323 Frankfurt/Main, Germany.
authors.forename: Swetlana
authors.initials: S
authors.lastname: Derksen
authors.forename: Oliver
authors.initials: O
authors.lastname: Rau
authors.forename: Petra
authors.initials: P
authors.lastname: Schneider
authors.forename: Manfred
authors.initials: M
authors.lastname: Schubert-Zsilavecz
authors.forename: Gisbert
authors.initials: G
authors.lastname: Schneider
mesh_terms: D000818:Animals; D019556:COS Cells; D002522:Chlorocebus aethiops; D015195:Drug Design; D007004:Hypoglycemic Agents / Q000737:chemistry* / Q000494:pharmacology*; D008024:Ligands; D015394:Molecular Structure; D016571:Neural Networks, Computer; D047492:Peroxisome Proliferator-Activated Receptors / Q000737:chemistry* / Q000187:drug effects*; D011336:Probability; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D012680:Sensitivity and Specificity; D013329:Structure-Activity Relationship
chemical_list: D007004:Hypoglycemic Agents; D008024:Ligands; D047492:Peroxisome Proliferator-Activated Receptors