González Pablo M, Acharya Chayan, Mackerell Alexander D, Polli James E
Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, 20 Penn Street, HSF2 room 623, Baltimore, Maryland 21201, USA.
Pharm Res. 2009 Jul;26(7):1665-78. doi: 10.1007/s11095-009-9877-3. Epub 2009 Apr 21.
Synthesize aminopiperidine conjugates of glutamyl-bile acids (glu-BAs) and develop a hASBT inhibition model using the conformationally sampled pharmacophore (CSP) approach.
glu-BAs aminopiperidine conjugates were synthesized. hASBT inhibition was measured as K(i). A CSP-SAR model was built using structural and physico-chemical descriptors and evaluated via cross-validation.
Twenty-nine aminopiperidine conjugates were synthesized. All inhibited hASBT, with K(i) ranging from 0.95 to 31.8 muM. Amidation of the piperidine nitrogen slightly decreased activity, while replacement by a carbon increased potency. Esterification of the glutamic acid linker had a minor impact, suggesting that a negative charge around C-24 is not required for binding. Three quantitative CSP-SAR models were developed. The best model (r (2) = 0.813, Q (2) = 0.726) included two descriptors: angle between 7-OH, alpha-substituent and centroid of rings B and C, and electrostatic contribution to the solvation free-energy. The model successfully distinguished between compounds with K(i) < 16muM and K(i) > 16muM. Models indicated that hydrophobicity, alpha substituent orientation, and partially compacted side chain conformation promote inhibitory potency. Qualitative CSP-SAR analysis indicated that the presence of an internal salt bridge, resulting in a locked conformation of the side chain, yielded weaker inhibitors.
Aminopiperidine conjugates of glu-BAs were potent hASBT inhibitors. A predictive and robust CSP-SAR model was developed.
合成谷氨酰 - 胆汁酸(glu - BAs)的氨基哌啶缀合物,并使用构象采样药效团(CSP)方法建立人源钠依赖性胆汁酸转运体(hASBT)抑制模型。
合成了glu - BAs氨基哌啶缀合物。以抑制常数(K(i))衡量hASBT抑制作用。使用结构和物理化学描述符构建CSP - SAR模型,并通过交叉验证进行评估。
合成了29种氨基哌啶缀合物。所有化合物均抑制hASBT,K(i)范围为0.95至31.8 μM。哌啶氮的酰胺化使活性略有降低,而用碳取代则增强了效力。谷氨酸连接子的酯化影响较小,表明C - 24周围的负电荷对于结合并非必需。开发了三个定量CSP - SAR模型。最佳模型(r (2) = 0.813,Q (2) = 0.726)包含两个描述符:7 - OH、α - 取代基与环B和C质心之间的夹角,以及对溶剂化自由能的静电贡献。该模型成功区分了K(i) < 16 μM和K(i) > 16 μM的化合物。模型表明,疏水性、α - 取代基取向和部分紧密的侧链构象促进抑制效力。定性CSP - SAR分析表明,内部盐桥的存在导致侧链构象锁定,产生较弱的抑制剂。
glu - BAs的氨基哌啶缀合物是有效的hASBT抑制剂。开发了一个具有预测性且稳健的CSP - SAR模型。