title: Quantitative Structure-Activity Relationship for High Affinity 5-HT1A Receptor Ligands Based on Norm Indexes.
abstract: Arylpiperazine derivatives are promising 5-hydroxytryptamine (5-HT) receptor ligands which can inhibit serotonin reuptake effectively. In this work, some norm index descriptors were proposed and further utilized to develop a model for predicting 5-HT1A receptor affinity (pKi) of 88 arylpiperazine derivatives. Results showed that this new model could provide satisfactory predictions with the square of the correction coefficient (R(2)) of 0.8891 and the squared correlation coefficient of cross-validation (Q(2)) of 0.8082, respectively. In addition, the applicability domain of this model was validated by using the leverage approach and results which suggested potential large scale for further utilization of this model. The results of statistical values and validation tests demonstrated that our proposed norm index based model could be successfully applied for predicting the affinity 5-HT1A receptor ligands of arylpiperazine derivatives.
authors.forename: Qingzhu
authors.initials: Q
authors.lastname: Jia
authors.forename: Xue
authors.initials: X
authors.lastname: Cui
authors.forename: Lei
authors.initials: L
authors.lastname: Li
authors.forename: Qiang
authors.initials: Q
authors.lastname: Wang
authors.forename: Ying
authors.initials: Y
authors.lastname: Liu
authors.affiliation: School of Chemical Engineering and Technology, Tianjin University , Tianjin 300072, People's Republic of China.
authors.forename: Shuqian
authors.initials: S
authors.lastname: Xia
authors.affiliation: School of Chemical Engineering and Technology, Tianjin University , Tianjin 300072, People's Republic of China.
authors.forename: Peisheng
authors.initials: P
authors.lastname: Ma
mesh_terms: D008024:Ligands; D021281:Quantitative Structure-Activity Relationship; D044282:Receptor, Serotonin, 5-HT1A / Q000737:chemistry / Q000378:metabolism*
chemical_list: D008024:Ligands; D044282:Receptor, Serotonin, 5-HT1A