2D QSAR of PPARγ agonist binding and transactivation.
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2D QSAR of PPARγ agonist binding and transactivation. / Rücker, Christoph; Scarsi, Marco; Meringer, Markus.
in: Bioorganic & Medicinal Chemistry, Jahrgang 14, Nr. 15, 01.08.2006, S. 5178-5195.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - 2D QSAR of PPARγ agonist binding and transactivation.
AU - Rücker, Christoph
AU - Scarsi, Marco
AU - Meringer, Markus
PY - 2006/8/1
Y1 - 2006/8/1
N2 - Multilinear QSAR models are developed for the largest and most diverse set of PPARγ agonists treated hitherto. Binding of these small molecules to the human nuclear receptor PPARγ is described by models that are built on simple 2D molecular descriptors and nevertheless are of good quality and predictive power (e.g., 144 compounds, 10 descriptors, r 2 = 0.79, r cv 2 = 0.76). The models presented are thoroughly validated by crossvalidation, randomization experiments, bootstrapping, and training set/test set partitioning. They may therefore be helpful in the design of new antidiabetic drug candidates. For gene transactivation, the functional activity of the agonists, a corresponding model for a similarly diverse compound set is of somewhat lower statistical quality.
AB - Multilinear QSAR models are developed for the largest and most diverse set of PPARγ agonists treated hitherto. Binding of these small molecules to the human nuclear receptor PPARγ is described by models that are built on simple 2D molecular descriptors and nevertheless are of good quality and predictive power (e.g., 144 compounds, 10 descriptors, r 2 = 0.79, r cv 2 = 0.76). The models presented are thoroughly validated by crossvalidation, randomization experiments, bootstrapping, and training set/test set partitioning. They may therefore be helpful in the design of new antidiabetic drug candidates. For gene transactivation, the functional activity of the agonists, a corresponding model for a similarly diverse compound set is of somewhat lower statistical quality.
KW - Chemistry
KW - 2D QSAR
KW - PPARγ agonists
KW - Type 2 diabetes
UR - http://www.scopus.com/inward/record.url?scp=33745172856&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/88f908b5-6981-30cf-83e7-89813cccce20/
U2 - 10.1016/j.bmc.2006.04.005
DO - 10.1016/j.bmc.2006.04.005
M3 - Journal articles
VL - 14
SP - 5178
EP - 5195
JO - Bioorganic and Medicinal Chemistry
JF - Bioorganic and Medicinal Chemistry
SN - 0968-0896
IS - 15
ER -