Tosco Paolo, Ahring Philip K, Dyhring Tino, Peters Dan, Harpsøe Kasper, Liljefors Tommy, Balle Thomas
Department of Drug Science and Technology, University of Turin, Via Pietro Giuria 9, 10125 Torino, Italy.
J Med Chem. 2009 Apr 23;52(8):2311-6. doi: 10.1021/jm801060h.
Complementary 3D-QSAR modeling of binding affinity and functional potency is proposed as a tool to pinpoint the molecular features of the ligands, and the corresponding amino acids in the receptor, responsible for high affinity binding vs those driving agonist behavior and receptor activation. This approach proved successful on a series of nicotinic alpha(4)beta(2) ligands, whose partial/full agonist profile could be linked to the size of the scaffold as well as to the nature of the substituents.
提出互补的3D-QSAR结合亲和力和功能效价建模作为一种工具,以查明配体的分子特征以及受体中负责高亲和力结合的相应氨基酸,与那些驱动激动剂行为和受体激活的氨基酸。这种方法在一系列烟碱α(4)β(2)配体上证明是成功的,其部分/完全激动剂谱可以与支架的大小以及取代基的性质联系起来。